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Chacón-Gómez F, Cornejo M and Medina J Efficiency of Fuzzy Decision Algorithms Based on the Strength of Decision Rules Conceptual Knowledge Structures, (49-62)

Yang S and Shi G (2024). An efficient approach to attribute reductions of quantitative dominance-based neighborhood rough sets based on graded information granules, Artificial Intelligence Review, 57:1, Online publication date: 1-Jan-2024.

Chacón-Gómez F, Cornejo M and Medina J Towards Confirmation Measures to Mixed Attribute Implications Graph-Based Representation and Reasoning, (193-196)

Yang T, Deng Y, Yu B, Qian Y and Dai J (2023). Local Feature Selection for Large-Scale Data Sets With Limited Labels, IEEE Transactions on Knowledge and Data Engineering, 35:7, (7152-7163), Online publication date: 1-Jul-2023.

Chakraborty D and Yao J (2023). Event prediction with rough-fuzzy sets, Pattern Analysis & Applications, 26:2, (691-701), Online publication date: 1-May-2023.

Muñoz-Izquierdo N, Segovia-Vargas M, Camacho-Miñano M and Pérez-Pérez Y (2022). Machine learning in corporate credit rating assessment using the expanded audit report, Machine Language, 111:11, (4183-4215), Online publication date: 1-Nov-2022.

He J, Qu L, Wang Z, Chen Y, Luo D and Wen C (2022). Attribute reduction in an incomplete categorical decision information system based on fuzzy rough sets, Artificial Intelligence Review, 55:7, (5313-5348), Online publication date: 1-Oct-2022.

Chen Q, Huang M, Wang H and Xu G (2022). A Feature Discretization Method Based on Fuzzy Rough Sets for High-Resolution Remote Sensing Big Data Under Linear Spectral Model, IEEE Transactions on Fuzzy Systems, 30:5, (1328-1342), Online publication date: 1-May-2022.

Liao S, Lin Y, Li J, Li H and Qian Y (2021). Attribute‐scale selection for hybrid data with test cost constraint, International Journal of Intelligent Systems, 37:6, (3297-3333), Online publication date: 27-Apr-2022.

Chen X A rough set approach to recognize images of handwritten digits Proceedings of the 2022 ACM Southeast Conference, (229-233)

Fan X, Chen X, Wang C, Wang Y and Zhang Y (2022). Margin attribute reductions for multi-label classification, Applied Intelligence, 52:6, (6079-6092), Online publication date: 1-Apr-2022.

El-Gayar M, El Atik A and Selisteanu D (2022). Topological Models of Rough Sets and Decision Making of COVID-19, Complexity, 2022, Online publication date: 1-Jan-2022.

Yao Y (2021). The geometry of three-way decision, Applied Intelligence, 51:9, (6298-6325), Online publication date: 1-Sep-2021.

Chai J (2021). Dominance-based rough approximation and knowledge reduction: a class-based approach, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 25:17, (11535-11549), Online publication date: 1-Sep-2021.

Han S (2021). Topological properties of locally finite covering rough sets and K-topological rough set structures, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 25:10, (6865-6877), Online publication date: 1-May-2021.

Yang S, Zhang H, De Baets B, Jah M and Shi G (2021). Quantitative Dominance-Based Neighborhood Rough Sets via Fuzzy Preference Relations, IEEE Transactions on Fuzzy Systems, 29:3, (515-529), Online publication date: 1-Mar-2021.

Yin L, Li J, Jiang Z, Ding J and Xu X (2021). An efficient attribute reduction algorithm using MapReduce, Journal of Information Science, 47:1, (101-117), Online publication date: 1-Feb-2021.

Chen Q and Huang M (2021). Rough fuzzy model based feature discretization in intelligent data preprocess, Journal of Cloud Computing: Advances, Systems and Applications, 10:1, Online publication date: 18-Jan-2021.

Al-shami T, Fu W, Abo-Tabl E and Abdel-Aty A (2021). New Rough Approximations Based on E-Neighborhoods, Complexity, 2021, Online publication date: 1-Jan-2021.

Hosny R, Asaad B, Azzam A, Al-Shami T and Khalil A (2021). Various Topologies Generated from Ej-Neighbourhoods via Ideals, Complexity, 2021, Online publication date: 1-Jan-2021.

Bashir Z, Mahnaz S and Abbas Malik M (2020). Conflict resolution using game theory and rough sets, International Journal of Intelligent Systems, 36:1, (237-259), Online publication date: 2-Dec-2020.

Yang T, Zhong X, Lang G, Qian Y and Dai J (2020). Granular Matrix: A New Approach for Granular Structure Reduction and Redundancy Evaluation, IEEE Transactions on Fuzzy Systems, 28:12, (3133-3144), Online publication date: 1-Dec-2020.

Rehman N, Ali A and Hila K (2020). Soft dominance based multigranulation decision theoretic rough sets and their applications in conflict problems, Artificial Intelligence Review, 53:8, (6079-6110), Online publication date: 1-Dec-2020.

Choromański M, Grześ T and Hońko P (2020). Breadth search strategies for finding minimal reducts: towards hardware implementation, Neural Computing and Applications, 32:18, (14801-14816), Online publication date: 1-Sep-2020.

Shaheen T, Ali M and Shabir M (2020). Generalized hesitant fuzzy rough sets (GHFRS) and their application in risk analysis, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 24:18, (14005-14017), Online publication date: 1-Sep-2020.

Parthaláin N, Jensen R and Diao R (2020). Fuzzy-Rough Set Bireducts for Data Reduction, IEEE Transactions on Fuzzy Systems, 28:8, (1840-1850), Online publication date: 1-Aug-2020.

Mieszkowicz-Rolka A and Rolka L Variable Precision Fuzzy Rough Set Model with Linguistic Labels 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), (1-8)

Ferraro M and Giordani P (2019). Soft clustering, WIREs Computational Statistics, 12:1, Online publication date: 13-Dec-2019.

Li Z, Zhang P, Ge X, Xie N, Zhang G and Wen C (2019). Uncertainty Measurement for a Fuzzy Relation Information System, IEEE Transactions on Fuzzy Systems, 27:12, (2338-2352), Online publication date: 1-Dec-2019.

Wan R and Li Y Clustering Data Stream with Rough Set Proceedings of the 2019 8th International Conference on Computing and Pattern Recognition, (52-56)

Hadrani A, Guennoun K, Saadane R and Wahbi M Comparative study of decision rule induction approaches involving rough sets for meningitis categories' discrimination Proceedings of the 4th International Conference on Smart City Applications, (1-8)

Li X, Yi H and Wang Z (2019). Approximation via a double-matroid structure, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 23:17, (7557-7568), Online publication date: 1-Sep-2019.

Ali M, Feng F, Mahmood T, Mahmood I and Faizan H (2019). A graphical method for ranking Atanassov's intuitionistic fuzzy values using the uncertainty index and entropy, International Journal of Intelligent Systems, 34:10, (2692-2712), Online publication date: 24-Aug-2019.

Bekiros S, Loukeris N, Matsatsinis N and Bezzina F (2019). Customer Satisfaction Prediction in the Shipping Industry with Hybrid Meta-heuristic Approaches, Computational Economics, 54:2, (647-667), Online publication date: 1-Aug-2019.

Bao Y, Yang H and Li S (2019). On characterization of $$(\mathcal {I},{\mathcal {N}})$$(I,N)-single valued neutrosophic rough approximation operators, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 23:15, (6065-6084), Online publication date: 1-Aug-2019.

Mafarja M and Mirjalili S (2019). Hybrid binary ant lion optimizer with rough set and approximate entropy reducts for feature selection, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 23:15, (6249-6265), Online publication date: 1-Aug-2019.

Sarkar J, Saha I, Rakshit S, Pal M, Wlasnowolski M, Sarkar A, Maulik U and Plewczynski D A new evolutionary rough fuzzy integrated machine learning technique for microRNA selection using next-generation sequencing data of breast cancer Proceedings of the Genetic and Evolutionary Computation Conference Companion, (1846-1854)

Wazarkar S and Keshavamurthy B (2019). A soft clustering technique with layered feature extraction for social image mining, Multimedia Tools and Applications, 78:14, (20333-20360), Online publication date: 1-Jul-2019.

Li Z, Zhang P, Ge X, Xie N and Zhang G (2019). Uncertainty measurement for a covering information system, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 23:14, (5307-5325), Online publication date: 1-Jul-2019.

Qin B, Zeng F and Yan K (2019). Invariant characterizations of fuzzy relation information systems under homomorphisms, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 23:14, (5273-5288), Online publication date: 1-Jul-2019.

Al-Radaideh Q and Al-Abrat M (2019). An Arabic text categorization approach using term weighting and multiple reducts, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 23:14, (5849-5863), Online publication date: 1-Jul-2019.

Kong Q and Xu W (2019). The comparative study of covering rough sets and multi-granulation rough sets, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 23:10, (3237-3251), Online publication date: 1-May-2019.

Wang P and Li Q (2019). The characterizations of upper approximation operators based on coverings, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 23:10, (3217-3228), Online publication date: 1-May-2019.

Gavin G and Bonnevay S Securely Aggregating Testimonies with Threshold Multi-key FHE Codes, Cryptology and Information Security, (325-348)

Fan T and Liau C Logics of Dominance for Reasoning About Multi-criteria Decisions Integrated Uncertainty in Knowledge Modelling and Decision Making, (50-62)

Malik N and Shabir M (2019). Rough fuzzy bipolar soft sets and application in decision-making problems, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 23:5, (1603-1614), Online publication date: 1-Mar-2019.

Ma Y, Luo X, Li X, Bao Z and Zhang Y (2019). Selection of Rich Model Steganalysis Features Based on Decision Rough Set $\alpha$ -Positive Region Reduction, IEEE Transactions on Circuits and Systems for Video Technology, 29:2, (336-350), Online publication date: 1-Feb-2019.

Szczuko P, Czyżewski A, Hoffmann P, Bratoszewski P and Lech M (2019). Validating data acquired with experimental multimodal biometric system installed in bank branches, Journal of Intelligent Information Systems, 52:1, (1-31), Online publication date: 1-Feb-2019.

(2019). Performance identification in large-scale class data from advanced facets of computational intelligence and soft computing techniques, International Journal of High Performance Computing and Networking, 13:3, (283-293), Online publication date: 1-Jan-2019.

Rehman N, Ali A, Ali Shah S, Irfan Ali M and Park C (2019). Variable precision multi decision λ-soft dominance based rough sets and their applications in conflict problems, Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology, 36:6, (5345-5360), Online publication date: 1-Jan-2019.

Balasubramanian V and Rajendran S (2019). Rough set theory-based feature selection and FGA-NN classifier for medical data classification, International Journal of Business Intelligence and Data Mining, 14:3, (322-358), Online publication date: 1-Jan-2019.

Huang Y, Li T, Luo C, Fujita H and Horng S (2018). Dynamic Fusion of Multisource Interval-Valued Data by Fuzzy Granulation, IEEE Transactions on Fuzzy Systems, 26:6, (3403-3417), Online publication date: 1-Dec-2018.

Anitha A and Acharjya D (2018). Crop suitability prediction in Vellore District using rough set on fuzzy approximation space and neural network, Neural Computing and Applications, 30:12, (3633-3650), Online publication date: 1-Dec-2018.

Jing S, Li G, Zeng K, Pan W and Liu C (2018). Efficient parallel algorithm for computing rough set approximation on GPU, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 22:22, (7553-7569), Online publication date: 1-Nov-2018.

Bekkali M and Lachkar A Context-based Arabic Word Sense Disambiguation using Short Text Similarity Measure Proceedings of the 12th International Conference on Intelligent Systems: Theories and Applications, (1-6)

Cheng C, Chen Y, Sangaiah A and Su Y (2018). Evidence-based personal applications of medical computing models in risk factors of cardiovascular disease for the middle-aged and elderly, Personal and Ubiquitous Computing, 22:5-6, (921-936), Online publication date: 1-Oct-2018.

Abd El Aziz M and Hassanien A (2018). An improved social spider optimization algorithm based on rough sets for solving minimum number attribute reduction problem, Neural Computing and Applications, 30:8, (2441-2452), Online publication date: 1-Oct-2018.

Moussa S and Kacem S A Fuzzy Unified Framework for Imprecise Knowledge Database and Expert Systems Applications, (69-83)

Hedar A, Ibrahim A, Abdel-Hakim A and Sewisy A Modulated clustering using integrated rough sets and scatter search attribute reduction Proceedings of the Genetic and Evolutionary Computation Conference Companion, (1394-1401)

Jiang Y and Yang M (2018). Semantic Search Exploiting Formal Concept Analysis, Rough Sets, and Wikipedia, International Journal on Semantic Web & Information Systems, 14:3, (99-119), Online publication date: 1-Jul-2018.

Ma X and Yao Y (2018). Three-way decision perspectives on class-specific attribute reducts, Information Sciences: an International Journal, 450:C, (227-245), Online publication date: 1-Jun-2018.

Chiaselotti G, Gentile T and Infusino F (2018). Granular computing on information tables, Information Sciences: an International Journal, 442:C, (72-102), Online publication date: 1-May-2018.

Ma M and Chakraborty M (2018). Covering-based rough sets and modal logics. Part II, International Journal of Approximate Reasoning, 95:C, (113-123), Online publication date: 1-Apr-2018.

Ledda A (2018). Stone-Type Representations and Dualities for Varieties of Bisemilattices, Studia Logica, 106:2, (417-448), Online publication date: 1-Apr-2018.

Jiang J, Wang Q, Shi Z, Lv B and Qi B RST-RF Proceedings of the 2nd International Conference on Cryptography, Security and Privacy, (77-81)

Porebski S and Straszecka E (2018). Extracting easily interpreted diagnostic rules, Information Sciences: an International Journal, 426:C, (19-37), Online publication date: 1-Feb-2018.

Liu Z and Pan S (2018). Fuzzy-Rough Instance Selection Combined with Effective Classifiers in Credit Scoring, Neural Processing Letters, 47:1, (193-202), Online publication date: 1-Feb-2018.

Aziz M and Hassanien A (2018). Modified cuckoo search algorithm with rough sets for feature selection, Neural Computing and Applications, 29:4, (925-934), Online publication date: 1-Feb-2018.

Wei W, Wu X, Liang J, Cui J and Sun Y (2018). Discernibility matrix based incremental attribute reduction for dynamic data, Knowledge-Based Systems, 140:C, (142-157), Online publication date: 15-Jan-2018.

Liu G and Hua Z (2018). Partial attribute reduction approaches to relation systems and their applications, Knowledge-Based Systems, 139:C, (101-107), Online publication date: 1-Jan-2018.

Tripathy B and Mohanty R (2018). Covering Based Pessimistic Multigranular Approximate Rough Equalities and Their Properties, International Journal of Rough Sets and Data Analysis, 5:1, (58-78), Online publication date: 1-Jan-2018.

Akram M, Ali G, Waseem N and Davvaz B (2018). Decision-making methods based on hybrid mF models, Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology, 35:3, (3387-3403), Online publication date: 1-Jan-2018.

Ali A, Ali M and Rehman N (2018). A more efficient conflict analysis based on soft preference relation, Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology, 34:1, (283-293), Online publication date: 1-Jan-2018.

Pérez F, Martienz J, Oliva A, Ortega M and Johnsson M (2018). Application of the Variable Precision Rough Sets Model to Estimate the Outlier Probability of Each Element, Complexity, 2018, Online publication date: 1-Jan-2018.

Pamuar D, Petrovi I and irovi G (2018). Modification of the BestWorst and MABAC methods, Expert Systems with Applications: An International Journal, 91:C, (89-106), Online publication date: 1-Jan-2018.

Zhou F, Jiao J, Yang X and Lei B (2017). Augmenting feature model through customer preference mining by hybrid sentiment analysis, Expert Systems with Applications: An International Journal, 89:C, (306-317), Online publication date: 15-Dec-2017.

Saxena A, Prasad M, Gupta A, Bharill N, Patel O, Tiwari A, Er M, Ding W and Lin C (2017). A review of clustering techniques and developments, Neurocomputing, 267:C, (664-681), Online publication date: 6-Dec-2017.

Banerjee A and Maji P (2017). Stomped-t, Information Sciences: an International Journal, 421:C, (104-125), Online publication date: 1-Dec-2017.

Yao Y and Zhang X (2017). Class-specific attribute reducts in rough set theory, Information Sciences: an International Journal, 418:C, (601-618), Online publication date: 1-Dec-2017.

Yu D, Xu Z, Pedrycz W and Wang W (2017). Information sciences 19682016, Information Sciences: an International Journal, 418:C, (619-634), Online publication date: 1-Dec-2017.

Pamuar D, Mihajlovi M, Obradovi R and Atanaskovi P (2017). Novel approach to group multi-criteria decision making based on interval rough numbers, Expert Systems with Applications: An International Journal, 88:C, (58-80), Online publication date: 1-Dec-2017.

Ji Z, Huang Y, Xia Y and Zheng Y (2017). A robust modified Gaussian mixture model with rough set for image segmentation, Neurocomputing, 266:C, (550-565), Online publication date: 29-Nov-2017.

Zhou P, Hu X, Li P and Wu X (2017). Online feature selection for high-dimensional class-imbalanced data, Knowledge-Based Systems, 136:C, (187-199), Online publication date: 15-Nov-2017.

Ma J, Zou C and Pan X (2017). Structured probabilistic rough set approximations, International Journal of Approximate Reasoning, 90:C, (319-332), Online publication date: 1-Nov-2017.

(2017). Gradation of yellow mosaic virus disease of okra and bitter gourd based on entropy based binning and Naive Bayes classifier after identification of leaves, Computers and Electronics in Agriculture, 142:PB, (485-493), Online publication date: 1-Nov-2017.

Xu H, Wang W and Qian Y (2017). Fusing Complete Monotonic Decision Trees, IEEE Transactions on Knowledge and Data Engineering, 29:10, (2223-2235), Online publication date: 1-Oct-2017.

Kozierkiewicz-Hetmańska A and Sitarczyk M The Efficiency Analysis of the Multi-level Consensus Determination Method Computational Collective Intelligence, (103-112)

Khan M (2017). A probabilistic approach to rough set theory with modal logic perspective, Information Sciences: an International Journal, 406:C, (170-184), Online publication date: 1-Sep-2017.

Zhang X and Miao D (2017). Three-way attribute reducts, International Journal of Approximate Reasoning, 88:C, (401-434), Online publication date: 1-Sep-2017.

Chiaselotti G, Gentile T and Infusino F (2017). Dependency structures for decision tables, International Journal of Approximate Reasoning, 88:C, (333-370), Online publication date: 1-Sep-2017.

Shi J, Lei Y, Wu J, Paul A, Kim M and Jeon G (2017). Uncertain clustering algorithms based on rough and fuzzy sets for real-time image segmentation, Journal of Real-Time Image Processing, 13:3, (645-663), Online publication date: 1-Sep-2017.

Yang Y, Chen D and Wang H (2017). Active Sample Selection Based Incremental Algorithm for Attribute Reduction With Rough Sets, IEEE Transactions on Fuzzy Systems, 25:4, (825-838), Online publication date: 1-Aug-2017.

D'Urso P (2017). Informational Paradigm, management of uncertainty and theoretical formalisms in the clustering framework, Information Sciences: an International Journal, 400:C, (30-62), Online publication date: 1-Aug-2017.

Jing F, Yunliang J and Yong L (2017). Quick attribute reduction with generalized indiscernibility models, Information Sciences: an International Journal, 397:C, (15-36), Online publication date: 1-Aug-2017.

Jing Y, Li T, Huang J, Chen H and Horng S (2016). A Group Incremental Reduction Algorithm with Varying Data Values, International Journal of Intelligent Systems, 32:9, (900-925), Online publication date: 3-Jul-2017.

Chen Y, Yue X, Fujita H and Fu S (2017). Three-way decision support for diagnosis on focal liver lesions, Knowledge-Based Systems, 127:C, (85-99), Online publication date: 1-Jul-2017.

Li Z, Liu X, Zhang G, Xie N and Wang S (2017). A multi-granulation decision-theoretic rough set method for distributed fc-decision information systems, Applied Soft Computing, 56:C, (233-244), Online publication date: 1-Jul-2017.

Zhan J, Liu Q and Zhu W (2017). Another approach to rough soft hemirings and corresponding decision making, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 21:13, (3769-3780), Online publication date: 1-Jul-2017.

Zhu X, Zhu W and Fan X (2017). Rough set methods in feature selection via submodular function, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 21:13, (3699-3711), Online publication date: 1-Jul-2017.

Ngan S (2017). Revisiting Fuzzy Set and Fuzzy Arithmetic Operators and Constructing New Operators in the Land of Probabilistic Linguistic Computing, IEEE Transactions on Fuzzy Systems, 25:3, (543-555), Online publication date: 1-Jun-2017.

Das A, Kumar Bera U and Maiti M (2017). A Profit Maximizing Solid Transportation Model Under a Rough Interval Approach, IEEE Transactions on Fuzzy Systems, 25:3, (485-498), Online publication date: 1-Jun-2017.

Qian J, Dang C, Yue X and Zhang N (2017). Attribute reduction for sequential three-way decisions under dynamic granulation, International Journal of Approximate Reasoning, 85:C, (196-216), Online publication date: 1-Jun-2017.

Feng T, Fan H and Mi J (2017). Uncertainty and reduction of variable precision multigranulation fuzzy rough sets based on three-way decisions, International Journal of Approximate Reasoning, 85:C, (36-58), Online publication date: 1-Jun-2017.

Kumar A and Banerjee M (2017). Kleene Algebras and Logic, Studia Logica, 105:3, (439-469), Online publication date: 1-Jun-2017.

Amin A, Anwar S, Adnan A, Nawaz M, Alawfi K, Hussain A and Huang K (2017). Customer churn prediction in the telecommunication sector using a rough set approach, Neurocomputing, 237:C, (242-254), Online publication date: 10-May-2017.

(2017). Cost-sensitive rough set, Knowledge-Based Systems, 123:C, (137-153), Online publication date: 1-May-2017.

Bisi C, Chiaselotti G, Ciucci D, Gentile T and Infusino F (2017). Micro and macro models of granular computing induced by the indiscernibility relation, Information Sciences: an International Journal, 388:C, (247-273), Online publication date: 1-May-2017.

Zhan J, Liu Q and Herawan T (2017). A novel soft rough set, Applied Soft Computing, 54:C, (393-402), Online publication date: 1-May-2017.

Hassanien A, Gaber T, Mokhtar U and Hefny H (2017). An improved moth flame optimization algorithm based on rough sets for tomato diseases detection, Computers and Electronics in Agriculture, 136:C, (86-96), Online publication date: 15-Apr-2017.

Rana H and Lal M (2017). A Comparative Study Based on Rough Set and Classification Via Clustering Approaches to Handle Incomplete Data to Predict Learning Styles, International Journal of Decision Support System Technology, 9:2, (1-20), Online publication date: 1-Apr-2017.

Li X, Yi H, She Y and Sun B (2017). Generalized three-way decision models based on subset evaluation, International Journal of Approximate Reasoning, 83:C, (142-159), Online publication date: 1-Apr-2017.

Wang C (2017). Topological structures of L-fuzzy rough sets and similarity sets of L-fuzzy relations, International Journal of Approximate Reasoning, 83:C, (160-175), Online publication date: 1-Apr-2017.

Yue X, Chen Y, Miao D and Qian J (2017). Tri-partition neighborhood covering reduction for robust classification, International Journal of Approximate Reasoning, 83:C, (371-384), Online publication date: 1-Apr-2017.

Yang B and Hu B (2017). On some types of fuzzy covering-based rough sets, Fuzzy Sets and Systems, 312:C, (36-65), Online publication date: 1-Apr-2017.

Pan W, She K and Wei P (2017). Multi-granulation fuzzy preference relation rough set for ordinal decision system, Fuzzy Sets and Systems, 312:C, (87-108), Online publication date: 1-Apr-2017.

Qiao J and Hu B (2017). A short note on L-fuzzy approximation spaces and L-fuzzy pretopological spaces, Fuzzy Sets and Systems, 312:C, (126-134), Online publication date: 1-Apr-2017.

Wang C (2017). Topological characterizations of generalized fuzzy rough sets, Fuzzy Sets and Systems, 312:C, (109-125), Online publication date: 1-Apr-2017.

Chen Y, Xue Y, Ma Y and Xu F (2017). Measures of uncertainty for neighborhood rough sets, Knowledge-Based Systems, 120:C, (226-235), Online publication date: 15-Mar-2017.

Jin C, Li F and Hu Q (2017). Knowledge change rate-based attribute importance measure and its performance analysis, Knowledge-Based Systems, 119:C, (59-67), Online publication date: 1-Mar-2017.

Liu G, Hua Z and Chen Z (2017). A general reduction algorithm for relation decision systems and its applications, Knowledge-Based Systems, 119:C, (87-93), Online publication date: 1-Mar-2017.

Chen Y, Zhang Z, Zheng J, Ma Y and Xue Y (2017). Gene selection for tumor classification using neighborhood rough sets and entropy measures, Journal of Biomedical Informatics, 67:C, (59-68), Online publication date: 1-Mar-2017.

Qian Y, Cheng H, Wang J, Liang J, Pedrycz W and Dang C (2017). Grouping granular structures in human granulation intelligence, Information Sciences: an International Journal, 382:C, (150-169), Online publication date: 1-Mar-2017.

Li F and Hu B (2017). A new approach of optimal scale selection to multi-scale decision tables, Information Sciences: an International Journal, 381:C, (193-208), Online publication date: 1-Mar-2017.

Qian Y, Liang X, Lin G, Guo Q and Liang J (2017). Local multigranulation decision-theoretic rough sets, International Journal of Approximate Reasoning, 82:C, (119-137), Online publication date: 1-Mar-2017.

Ge H, Li L, Xu Y and Yang C (2017). Quick general reduction algorithms for inconsistent decision tables, International Journal of Approximate Reasoning, 82:C, (56-80), Online publication date: 1-Mar-2017.

Zhang X, Chen D and Tsang E (2017). Generalized dominance rough set models for the dominance intuitionistic fuzzy information systems, Information Sciences: an International Journal, 378:C, (1-25), Online publication date: 1-Feb-2017.

Li F, Qian Y, Wang J and Liang J (2017). Multigranulation information fusion, Information Sciences: an International Journal, 378:C, (389-409), Online publication date: 1-Feb-2017.

Zhang H and Yang S (2017). Feature selection and approximate reasoning of large-scale set-valued decision tables based on α-dominance-based quantitative rough sets, Information Sciences: an International Journal, 378:C, (328-347), Online publication date: 1-Feb-2017.

Zhu P, Xie H and Wen Q (2017). Rough approximations based on bisimulations, International Journal of Approximate Reasoning, 81:C, (49-62), Online publication date: 1-Feb-2017.

Zhang Y and Yao J (2017). Gini objective functions for three-way classifications, International Journal of Approximate Reasoning, 81:C, (103-114), Online publication date: 1-Feb-2017.

Teng S, Liao F, Ma Y, He M and Nian Y (2017). Uncertainty measures of rough sets based on discernibility capability in information systems, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 21:4, (1081-1096), Online publication date: 1-Feb-2017.

Li Z, Xie N and Gao N (2017). Rough approximations based on soft binary relations and knowledge bases, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 21:4, (839-852), Online publication date: 1-Feb-2017.

G. M, V. K and T.V. G (2017). Influential Researcher Identification in Academic Network Using Rough Set Based Selection of Time-Weighted Academic and Social Network Features, International Journal of Intelligent Information Technologies, 13:1, (1-25), Online publication date: 1-Jan-2017.

Podsiadlo M and Rybinski H (2016). Financial time series forecasting using rough sets with time-weighted rule voting, Expert Systems with Applications: An International Journal, 66:C, (219-233), Online publication date: 30-Dec-2016.

Yan S, Yan L and Wu J (2016). Rough data-deduction based on the upper approximation, Information Sciences: an International Journal, 373:C, (308-320), Online publication date: 10-Dec-2016.

Chiaselotti G, Ciucci D, Gentile T and Infusino F (2016). The granular partition lattice of an information table, Information Sciences: an International Journal, 373:C, (57-78), Online publication date: 10-Dec-2016.

Li Z, Li Q, Zhang R and Xie N (2016). Knowledge structures in a knowledge base, Expert Systems: The Journal of Knowledge Engineering, 33:6, (581-591), Online publication date: 1-Dec-2016.

Meng Z, Gan Q and Shi Z (2016). On efficient methods of computing attribute-value blocks in incomplete decision systems, Knowledge-Based Systems, 113:C, (171-185), Online publication date: 1-Dec-2016.

Fan A, Zhao H and Zhu W (2016). Test-cost-sensitive attribute reduction on heterogeneous data for adaptive neighborhood model, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 20:12, (4813-4824), Online publication date: 1-Dec-2016.

Ma Z and Mi J (2016). Boundary region-based rough sets and uncertainty measures in the approximation space, Information Sciences: an International Journal, 370:C, (239-255), Online publication date: 20-Nov-2016.

Shin K and Miyazaki S (2016). A Fast and Accurate Feature Selection Algorithm Based on Binary Consistency Measure, Computational Intelligence, 32:4, (646-667), Online publication date: 1-Nov-2016.

Li T, Ruan D, Shen Y, Hermans E and Wets G (2016). A New Weighting Approach Based on Rough Set Theory and Granular Computing for Road Safety Indicator Analysis, Computational Intelligence, 32:4, (517-534), Online publication date: 1-Nov-2016.

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Grzymala-Busse J, Clark P and Kuehnhausen M (2014). Generalized probabilistic approximations of incomplete data, International Journal of Approximate Reasoning, 55:1, (180-196), Online publication date: 1-Jan-2014.

Zhou B (2014). Multi-class decision-theoretic rough sets, International Journal of Approximate Reasoning, 55:1, (211-224), Online publication date: 1-Jan-2014.

Min F, Hu Q and Zhu W (2014). Feature selection with test cost constraint, International Journal of Approximate Reasoning, 55:1, (167-179), Online publication date: 1-Jan-2014.

Qian Y, Zhang H, Sang Y and Liang J (2014). Multigranulation decision-theoretic rough sets, International Journal of Approximate Reasoning, 55:1, (225-237), Online publication date: 1-Jan-2014.

Liu D, Li T and Liang D (2014). Incorporating logistic regression to decision-theoretic rough sets for classifications, International Journal of Approximate Reasoning, 55:1, (197-210), Online publication date: 1-Jan-2014.

Jia X, Tang Z, Liao W and Shang L (2014). On an optimization representation of decision-theoretic rough set model, International Journal of Approximate Reasoning, 55:1, (156-166), Online publication date: 1-Jan-2014.

Abdullah S, Sabar N, Ahmad Nazri M and Ayob M (2014). An Exponential Monte-Carlo algorithm for feature selection problems, Computers and Industrial Engineering, 67, (160-167), Online publication date: 1-Jan-2014.

Shao Y, Hou C and Chiu C (2014). Hybrid intelligent modeling schemes for heart disease classification, Applied Soft Computing, 14, (47-52), Online publication date: 1-Jan-2014.

Paul S and Maji P City Block Distance for Identification of Co-expressed MicroRNAs Proceedings of the 4th International Conference on Swarm, Evolutionary, and Memetic Computing - Volume 8298, (387-396)

Ammar A, Elouedi Z and Lingras P Incremental Rough Possibilistic K-Modes Proceedings of the 7th International Workshop on Multi-disciplinary Trends in Artificial Intelligence - Volume 8271, (13-24)

Wu Z and Yan R (2013). Multi-Attribute Decision Making Based on Attribute Importance Degree and Case-Based Reasoning, Cybernetics and Information Technologies, 13:Special Issue, (62-74), Online publication date: 1-Dec-2013.

Lazo-Cortés M, Martínez-Trinidad J, Carrasco-Ochoa J and Sánchez-Díaz G Easy Categorization of Attributes in Decision Tables Based on Basic Binary Discernibility Matrix Proceedings, Part I, of the 18th Iberoamerican Congress on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - Volume 8258, (302-310)

Murai T, Miyamoto S, Inuiguchi M, Kudo Y and Akama S Fuzzy Multisets in Granular Hierarchical Structures Generated from Free Monoids Proceedings of the 10th International Conference on Modeling Decisions for Artificial Intelligence - Volume 8234, (248-259)

Nguyen H Tolerance Rough Set Model and Its Applications in Web Intelligence Proceedings of the 2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT) - Volume 03, (237-244)

Yu Y, Pedrycz W and Miao D (2013). Neighborhood rough sets based multi-label classification for automatic image annotation, International Journal of Approximate Reasoning, 54:9, (1373-1387), Online publication date: 1-Nov-2013.

Wu W, Leung Y and Shao M (2013). Generalized fuzzy rough approximation operators determined by fuzzy implicators, International Journal of Approximate Reasoning, 54:9, (1388-1409), Online publication date: 1-Nov-2013.

Yang H, Liao X, Wang S and Wang J (2013). Fuzzy probabilistic rough set model on two universes and its applications, International Journal of Approximate Reasoning, 54:9, (1410-1420), Online publication date: 1-Nov-2013.

Poelmans J, Kuznetsov S, Ignatov D and Dedene G (2013). Review, Expert Systems with Applications: An International Journal, 40:16, (6601-6623), Online publication date: 1-Nov-2013.

Kudo Y, Okada Y and Murai T On a Possibility of Applying Interrelationship Mining to Gene Expression Data Analysis Proceedings of the International Conference on Brain and Health Informatics - Volume 8211, (379-388)

Clark P, Grzymała-Busse J and Rząsa W Generalizations of Approximations Proceedings of the 8th International Conference on Rough Sets and Knowledge Technology - Volume 8171, (41-52)

Yao J and Zhang Y A Scientometrics Study of Rough Sets in Three Decades Proceedings of the 8th International Conference on Rough Sets and Knowledge Technology - Volume 8171, (28-40)

Świeboda W, Meina M and Nguyen H Weight Learning for Document Tolerance Rough Set Model Proceedings of the 8th International Conference on Rough Sets and Knowledge Technology - Volume 8171, (385-396)

Li W, Huang Z and Jia X Two-Phase Classification Based on Three-Way Decisions Proceedings of the 8th International Conference on Rough Sets and Knowledge Technology - Volume 8171, (338-345)

Yao Y Granular Computing and Sequential Three-Way Decisions Proceedings of the 8th International Conference on Rough Sets and Knowledge Technology - Volume 8171, (16-27)

Zhang J, Zhu Y, Pan Y and Li T A Parallel Implementation of Computing Composite Rough Set Approximations on GPUs Proceedings of the 8th International Conference on Rough Sets and Knowledge Technology - Volume 8171, (240-250)

Pei M, Deng D and Huang H Parallel Reducts Proceedings of the 8th International Conference on Rough Sets and Knowledge Technology - Volume 8171, (229-239)

Zhou B and Yao Y Comparison of Two Models of Probabilistic Rough Sets Proceedings of the 8th International Conference on Rough Sets and Knowledge Technology - Volume 8171, (121-132)

Li M, Wang G and Wang J A Formal Concept Analysis Based Approach to Minimal Value Reduction Proceedings of the 8th International Conference on Rough Sets and Knowledge Technology - Volume 8171, (109-120)

Mihálydeák T and Csajbók Z Partial Approximation of Multisets and Its Applications in Membrane Computing Proceedings of the 8th International Conference on Rough Sets and Knowledge Technology - Volume 8171, (99-108)

Trabelsi S, Elouedi Z and Lingras P Belief Discernibility Matrix and Function for Incremental or Large Data Proceedings of the 14th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume 8170, (67-76)

Azad M, Chikalov I and Moshkov M Three Approaches to Deal with Inconsistent Decision Tables - Comparison of Decision Tree Complexity Proceedings of the 14th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume 8170, (46-54)

Wolski M and Gomolińska A Rough Set Granularity Proceedings of the 14th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume 8170, (285-292)

Wu W, Gao C, Li T and Xu Y On Dual Intuitionistic Fuzzy Rough Approximation Operators Determined by an Intuitionistic Fuzzy Implicator Proceedings of the 14th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume 8170, (138-146)

Nguyen L and Nguyen H Metric Based Attribute Reduction in Incomplete Decision Tables Proceedings of the 14th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume 8170, (99-110)

Nguyen S and Phung T Efficient Algorithms for Attribute Reduction on Set-Valued Decision Tables Proceedings of the 14th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume 8170, (87-98)

Skowron A, Jankowski A and Swiniarski R 30 Years of Rough Sets and Future Perspectives Proceedings of the 14th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume 8170, (1-10)

Deng W, Hu F, Wang G, Błaszczyński J, Słowiński R and Szeląg M (2013). A Novel Method for Elimination of Inconsistencies in Ordinal Classification with Monotonicity Constraints, Fundamenta Informaticae, 126:4, (377-395), Online publication date: 1-Oct-2013.

Suraj Z and Pancerz K (2013). ROSECON, Fundamenta Informaticae, 126:4, (335-351), Online publication date: 1-Oct-2013.

Wang Z, Shu L and Ding X (2013). Minimal Description and Maximal Description in Covering-based Rough Sets, Fundamenta Informaticae, 128:4, (503-526), Online publication date: 1-Oct-2013.

Jiang F, Wan X, Sui Y, Cao C and Du J (2013). Relational Operations and Uncertainty Measure in Rough Relational Database, Fundamenta Informaticae, 123:4, (401-416), Online publication date: 1-Oct-2013.

Chen Y (2013). Modeling hybrid rough set-based classification procedures to identify hemodialysis adequacy for end-stage renal disease patients, Computers in Biology and Medicine, 43:10, (1590-1605), Online publication date: 1-Oct-2013.

Zhang X, Mei C, Chen D and Li J (2013). Multi-confidence rule acquisition oriented attribute reduction of covering decision systems via combinatorial optimization, Knowledge-Based Systems, 50:C, (187-197), Online publication date: 1-Sep-2013.

Jin J, Li Q and Li Y (2013). Algebraic properties of L-fuzzy finite automata, Information Sciences: an International Journal, 234, (182-202), Online publication date: 1-Jun-2013.

HońKo P (2013). Association discovery from relational data via granular computing, Information Sciences: an International Journal, 234, (136-149), Online publication date: 1-Jun-2013.

Liang J, Mi J, Wei W and Wang F (2013). An accelerator for attribute reduction based on perspective of objects and attributes, Knowledge-Based Systems, 44, (90-100), Online publication date: 1-May-2013.

Dai J, Tian H, Wang W and Liu L (2013). Decision rule mining using classification consistency rate, Knowledge-Based Systems, 43, (95-102), Online publication date: 1-May-2013.

Wei W, Liang J, Qian Y and Dang C (2013). Can fuzzy entropies be effective measures for evaluating the roughness of a rough set?, Information Sciences: an International Journal, 232, (143-166), Online publication date: 1-May-2013.

Yang T, Li Q and Zhou B (2013). Related family, Information Sciences: an International Journal, 228, (175-191), Online publication date: 1-Apr-2013.

Maji P and Paul S (2013). Rough-Fuzzy Clustering for Grouping Functionally Similar Genes from Microarray Data, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 10:2, (286-299), Online publication date: 1-Mar-2013.

Fan T (2013). Rough set analysis of relational structures, Information Sciences: an International Journal, 221, (230-244), Online publication date: 1-Feb-2013.

Amin T, Chikalov I, Moshkov M and Zielosko B (2013). Dynamic programming approach to optimization of approximate decision rules, Information Sciences: an International Journal, 221, (403-418), Online publication date: 1-Feb-2013.

Huang B, Wei D, Li H and Zhuang Y (2013). Using a rough set model to extract rules in dominance-based interval-valued intuitionistic fuzzy information systems, Information Sciences: an International Journal, 221, (215-229), Online publication date: 1-Feb-2013.

Gacek A (2013). Granular modelling of signals, Information Sciences: an International Journal, 221, (1-11), Online publication date: 1-Feb-2013.

Du W, Hu B and Zhao Y (2013). The necessary and sufficient conditions for a fuzzy relation being Τ-Euclidean, Information Sciences: an International Journal, 222, (727-736), Online publication date: 1-Feb-2013.

Chen Y and Cheng C (2013). Assessing mathematics learning achievement using hybrid rough set classifiers and multiple regression analysis, Applied Soft Computing, 13:2, (1183-1192), Online publication date: 1-Feb-2013.

Chen Y and Cheng C (2013). Application of rough set classifiers for determining hemodialysis adequacy in ESRD patients, Knowledge and Information Systems, 34:2, (453-482), Online publication date: 1-Feb-2013.

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Pancerz K, Lewicki A, Tadeusiewicz R and Warchoł J (2013). Ant-Based Clustering in Delta Episode Information Systems Based on Temporal Rough Set Flow Graphs, Fundamenta Informaticae, 128:1-2, (143-158), Online publication date: 1-Jan-2013.

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Azad M, Chikalov I, Moshkov M and Zielosko B (2013). A Greedy Algorithm for Construction of Decision Trees for Tables with Many-Valued Decisions --A Comparative Study, Fundamenta Informaticae, 128:1-2, (1-15), Online publication date: 1-Jan-2013.

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Pancerz K and Suraj Z (2013). A Rough Set Approach to Information Systems Decomposition, Fundamenta Informaticae, 127:1-4, (257-272), Online publication date: 1-Jan-2013.

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Chakraborty M and Banerjee M (2013). Rough Sets, Fundamenta Informaticae, 127:1-4, (1-15), Online publication date: 1-Jan-2013.

Csajbók Z Approximation of sets based on partial covering Transactions on Rough Sets XVI, (144-220)

Wu W and Xu Y On fuzzy topological structures of rough fuzzy sets Transactions on Rough Sets XVI, (125-143)

Yao Y and Fu R The concept of reducts in pawlak three-step rough set analysis Transactions on Rough Sets XVI, (53-72)

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Li F and Liu Q An extension to rough c-means clustering algorithm based on boundary area elements discrimination Transactions on Rough Sets XVI, (17-33)

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Saha I, Sarkar J and Maulik U Rough Set Based Fuzzy K-Modes for Categorical Data Swarm, Evolutionary, and Memetic Computing, (323-330)

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Encheva S Ordering of potential collaboration options Proceedings of the 4th international conference on Computational Collective Intelligence: technologies and applications - Volume Part II, (162-171)

Kozierkiewicz-Hetmańska A Comparison of one-level and two-level consensuses satisfying the 2-optimality criterion Proceedings of the 4th international conference on Computational Collective Intelligence: technologies and applications - Volume Part I, (1-10)

Piątek Ł and Hippe Z Synthesis of selected features of melanocytic skin lesion images Proceedings of the 27th Conference on Image and Vision Computing New Zealand, (238-243)

Fu X, Liu J, Wang H, Zhang B and Gao R Rough sets and neural networks based aerial images segmentation method Proceedings of the 19th international conference on Neural Information Processing - Volume Part IV, (123-131)

Ji Z, Sun Q, Xia Y, Chen Q, Xia D and Feng D (2012). Generalized rough fuzzy c-means algorithm for brain MR image segmentation, Computer Methods and Programs in Biomedicine, 108:2, (644-655), Online publication date: 1-Nov-2012.

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Zhang J, Li T and Chen H Composite rough sets Proceedings of the 4th international conference on Artificial Intelligence and Computational Intelligence, (150-159)

Wang D, Xie Q, Huang D and Yuan H Analysis of association rule mining on quantitative concept lattice Proceedings of the 4th international conference on Artificial Intelligence and Computational Intelligence, (142-149)

Wei W, Liang J, Qian Y and Wang J Fuzziness-Preserving attribute reduction from hybrid data Proceedings of the third Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering, (692-699)

Hsu T, Liau C and Wang D A probabilistic hybrid logic for sanitized information systems Proceedings of the 6th international conference on Scalable Uncertainty Management, (500-513)

Amin T, Chikalov I, Moshkov M and Zielosko B Optimization of approximate decision rules relative to number of misclassifications Proceedings of the 16th international conference on Knowledge Engineering, Machine Learning and Lattice Computing with Applications, (41-50)

Mihálydeák T and Csajbók Z Membranes with boundaries Proceedings of the 13th international conference on Membrane Computing, (277-294)

Ha Q, Hoang T, Nguyen L, Nguyen H, Szałas A and Tran T A bisimulation-based method of concept learning for knowledge bases in description logics Proceedings of the 3rd Symposium on Information and Communication Technology, (241-249)

Nayak R, Mishra D, Das S, Shaw K, Mishra S and Tripathy R Clustering and classifying informative attributes using rough set theory Proceedings of the International Conference on Advances in Computing, Communications and Informatics, (118-123)

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Yu T, Wei J and Li J PAC learnability of rough hypercuboid classifier Proceedings of the 8th international conference on Intelligent Computing Theories and Applications, (648-655)

Li Z and Gao N Soft rough sets and topologies Proceedings of the 8th international conference on Intelligent Computing Theories and Applications, (103-110)

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Shaaban S and Nabwey H A probabilistic rough set approach for water reservoirs site location decision making Proceedings of the 12th international conference on Computational Science and Its Applications - Volume Part II, (358-372)

Wu H and Lin H (2012). A hybrid approach to develop an analytical model for enhancing the service quality of e-learning, Computers & Education, 58:4, (1318-1338), Online publication date: 1-May-2012.

Encheva S Ranking reusable learning objectswith rough sets based methods Proceedings of the 11th WSEAS international conference on Applied Computer and Applied Computational Science, (204-207)

Shan J, Shen D, Nie T, Kou Y and Yu G An entity class model based correlated query path selection method in multiple domains Proceedings of the 14th Asia-Pacific international conference on Web Technologies and Applications, (636-643)

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Fan Y and Chern C An agent model for incremental rough set-based rule induction in customer relationship management Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part I, (1-12)

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Pancerz K, Lewicki A, Tadeusiewicz R and Gomuła J Ant based clustering of MMPI data Proceedings of the 6th international conference on Rough sets and knowledge technology, (366-375)

Liu S, Sun L, Guo Y, Gao J and Liu L Application of rough set theory for evaluating polysaccharides extraction Proceedings of the 6th international conference on Rough sets and knowledge technology, (354-359)

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Suraj Z, Grochowalski P and Lew Ł Discovering patterns of collaboration in rough set research Proceedings of the 6th international conference on Rough sets and knowledge technology, (238-247)

Li F and Liu Q An extension to rough c-means clustering Proceedings of the 6th international conference on Rough sets and knowledge technology, (208-216)

Prasad P, Bindu K and Rao C Incremental learning in AttributeNets with dynamic reduct and IQuickReduct Proceedings of the 6th international conference on Rough sets and knowledge technology, (195-200)

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Zhang J, Li T, Yang Y and Wang L Neighborhood rough sets based matrix approach for calculation of the approximations Proceedings of the 6th international conference on Rough sets and knowledge technology, (166-171)

Wu W, Yang Y and Xu Y Some fuzzy topologies induced by rough fuzzy sets Proceedings of the 6th international conference on Rough sets and knowledge technology, (156-165)

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Zheng X and Dai J A variable precision covering generalized rough set model Proceedings of the 6th international conference on Rough sets and knowledge technology, (120-125)

Zhou L and Jiang F A rough set approach to feature selection based on relative decision entropy Proceedings of the 6th international conference on Rough sets and knowledge technology, (110-119)

Yao Y and Fu R Partitions, coverings, reducts and rule learning in rough set theory Proceedings of the 6th international conference on Rough sets and knowledge technology, (101-109)

Xu F, Pan W, Wei L and Du H An efficient fuzzy rough approach for feature selection Proceedings of the 6th international conference on Rough sets and knowledge technology, (95-100)

Qian Y, Li C and Liang J An efficient fuzzy-rough attribute reduction approach Proceedings of the 6th international conference on Rough sets and knowledge technology, (63-70)

Li T, Wu Y and Yang X Dependence and algebraic structure of formal contexts Proceedings of the 6th international conference on Rough sets and knowledge technology, (51-56)

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Dai J, Lv H, Chen W and Pan Y Two kinds of rough algebras and brouwer-zadeh lattices Proceedings of the 5th international conference on Rough Sets and Current Trends in Computing, (99-106)

Sun H and Liu Q The research of rough sets in normed linear space Proceedings of the 5th international conference on Rough Sets and Current Trends in Computing, (91-98)

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Cao C, Sui Y and Zhang Z The rough logic and roughness of logical theories Proceedings of the First international conference on Rough Sets and Knowledge Technology, (610-617)

Zhang B, Yin J and Hao J Using RS and SVM to detect new malicious executable codes Proceedings of the First international conference on Rough Sets and Knowledge Technology, (574-579)

Zheng Z, He Q and Shi Z Granule sets based bilevel decision model Proceedings of the First international conference on Rough Sets and Knowledge Technology, (530-537)

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Qiu Y, Xie K and Xie G Decision rules extraction strategy based on bit coded discernibility matrix Proceedings of the First international conference on Rough Sets and Knowledge Technology, (262-267)

Wu W and Mi J Knowledge reduction in incomplete information systems based on dempster-shafer theory of evidence Proceedings of the First international conference on Rough Sets and Knowledge Technology, (254-261)

Skowron A, Ramanna S and Peters J Conflict analysis and information systems Proceedings of the First international conference on Rough Sets and Knowledge Technology, (233-240)

Feng T, Mi J and Wu W Covering-Based generalized rough fuzzy sets Proceedings of the First international conference on Rough Sets and Knowledge Technology, (208-215)

Zhang L and Zhang B Hierarchical machine learning – a learning methodology inspired by human intelligence Proceedings of the First international conference on Rough Sets and Knowledge Technology, (28-30)

Dai J, Chen W and Pan Y Rough sets and brouwer-zadeh lattices Proceedings of the First international conference on Rough Sets and Knowledge Technology, (200-207)

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Jiang F, Sui Y and Cao C Rough contexts and rough-valued contexts Proceedings of the First international conference on Rough Sets and Knowledge Technology, (176-183)

Zhang Z, Sui Y and Cao C Further study of the fuzzy reasoning based on propositional modal logic Proceedings of the First international conference on Rough Sets and Knowledge Technology, (162-169)

Nakata M and Sakai H Applying rough sets to data tables containing possibilistic information Proceedings of the First international conference on Rough Sets and Knowledge Technology, (147-155)

Li H, Zhang W, Xu P and Wang H Rough set attribute reduction in decision systems Proceedings of the First international conference on Rough Sets and Knowledge Technology, (135-140)

Pawlak Z Conflicts and negotations Proceedings of the First international conference on Rough Sets and Knowledge Technology, (12-27)

Cheng Y, Zhang Y and Hu X The relationships between variable precision value and knowledge reduction based on variable precision rough sets model Proceedings of the First international conference on Rough Sets and Knowledge Technology, (122-128)

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Liu Q and Sun H Theoretical study of granular computing Proceedings of the First international conference on Rough Sets and Knowledge Technology, (93-102)

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Ye M, Feng B, Zhu L and Lin Y Attribute reduction based expected outputs generation for statistical software testing Proceedings of the First international conference on Rough Sets and Knowledge Technology, (786-791)

Grzymala-Busse J A rough set approach to data with missing attribute values Proceedings of the First international conference on Rough Sets and Knowledge Technology, (58-67)

Peters J and Skowron A Some contributions by zdzisław pawlak Proceedings of the First international conference on Rough Sets and Knowledge Technology, (1-11)

Cyran K Recognition of the type of vehicle and the road obstacle in optimized HRWD-PNN based image processing system Proceedings of the 10th WSEAS international conference on Systems, (661-666)

Cyran K Rough sets with real valued attributes in evolutionary optimization of holographic ring wedge detector dedicated for neural network Proceedings of the 10th WSEAS international conference on Systems, (103-108)

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Dominik A and Walczak Z Induction of decision rules using minimum set of descriptors Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing, (509-517)

Fang J and Grzymala-Busse J Leukemia prediction from gene expression data—a rough set approach Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing, (899-908)

Wang H and Zhang W Relationships between concept lattice and rough set Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing, (538-547)

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Du G, McElroy J and Ruhe G Ad hoc versus systematic planning of software releases – a three-staged experiment Proceedings of the 7th international conference on Product-Focused Software Process Improvement, (435-440)

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Zhao Y and Yao Y Classification based on logical concept analysis Proceedings of the 19th international conference on Advances in Artificial Intelligence: Canadian Society for Computational Studies of Intelligence, (419-430)

Shu Y Structural health assessing by interactive data mining approach in nuclear power plant Proceedings of the 20th annual conference on New frontiers in artificial intelligence, (332-345)

Wang L, Wu Y, Tan Y and Zhang L A modified constructive fuzzy neural networks for classification of large-scale and complicated data Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II, (14-19)

Apolloni B, Bassis S, Gaito S, Malchiodi D and Zoppis I (2006). Controlling the losing probability in a monotone game, Information Sciences: an International Journal, 176:10, (1395-1416), Online publication date: 1-May-2006.

Yang X and Li T (2006). The minimization of axiom sets characterizing generalized approximation operators, Information Sciences: an International Journal, 176:7, (887-899), Online publication date: 1-Apr-2006.

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Huang F and Zhang S Clustering web documents based on knowledge granularity Proceedings of the 8th Asia-Pacific Web conference on Frontiers of WWW Research and Development, (85-96)

Stefanowski J and Wilk S (2006). Rough Sets for Handling Imbalanced Data: Combining Filtering and Rule-based Classifiers, Fundamenta Informaticae, 72:1-3, (379-391), Online publication date: 1-Jan-2006.

Skowron A, Stepaniuk J, Peters J and Swiniarski R (2006). Calculi of Approximation Spaces, Fundamenta Informaticae, 72:1-3, (363-378), Online publication date: 1-Jan-2006.

Fan T, Liu D and Tzeng G Arrow decision logic for relational information systems Transactions on Rough Sets V, (240-262)

Skowron A, Wang H, Wojna A and Bazan J Multimodal classification Transactions on Rough Sets V, (224-239)

Li J and Cercone N Introducing a rule importance measure Transactions on Rough Sets V, (167-189)

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Zheng Z, Zhang G, He Q, Lu J and Shi Z Rule sets based bilevel decision model Proceedings of the 29th Australasian Computer Science Conference - Volume 48, (113-120)

Skowron A Rough sets in perception-based computing Proceedings of the First international conference on Pattern Recognition and Machine Intelligence, (21-29)

Gupta K, Moore P, Aha D and Pal S Rough set feature selection methods for case-based categorization of text documents Proceedings of the First international conference on Pattern Recognition and Machine Intelligence, (792-798)

Mitra S, Banka H and Pedrycz W Collaborative rough clustering Proceedings of the First international conference on Pattern Recognition and Machine Intelligence, (768-773)

Widz S, Revett K and Ślęzak D A rough set-based magnetic resonance imaging partial volume detection system Proceedings of the First international conference on Pattern Recognition and Machine Intelligence, (756-761)

Skowron A, Stepaniuk J and Swiniarski R Approximation spaces in machine learning and pattern recognition Proceedings of the First international conference on Pattern Recognition and Machine Intelligence, (750-755)

Rao D, Banerjee M and Mitra P Object extraction in gray-scale images by optimizing roughness measure of a fuzzy set Proceedings of the First international conference on Pattern Recognition and Machine Intelligence, (744-749)

Milton R, Maheswari V and Siromoney A Probability measures for prediction in multi-table infomation systems Proceedings of the First international conference on Pattern Recognition and Machine Intelligence, (738-743)

Bazan J and Skowron A On-Line elimination of non-relevant parts of complex objects in behavioral pattern identification Proceedings of the First international conference on Pattern Recognition and Machine Intelligence, (720-725)

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Zhu D, Feng B and Guan T Rough sets and decision rules in fuzzy set-valued information systems Proceedings of the 4th Mexican international conference on Advances in Artificial Intelligence, (204-213)

Li M, Zhang B, Wang T and Zhao L Approximation of class unions based on dominance-matrix within dominance-based rough set approach Proceedings of the First international conference on Affective Computing and Intelligent Interaction, (795-802)

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Honghai F, Baoyan L and Liyun H Using rough set to induce dependencies between attributes where there are a large amount of missing values Proceedings of the 3rd international conference on Knowledge capture, (201-202)

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Feng H, Yin C, Liao M, Yang B and Chen Y Using rough set to induce comparative knowledge and its use in SARS data Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part IV, (89-93)

Honghai F, Baoyan L, Cheng Y, Ping L, Bingru Y and Yumei C Using rough set to reduce SVM classifier complexity and its use in SARS data set Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III, (575-580)

Kusiak A and Burns A Mining temporal data Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III, (953-958)

Tabakow I Fault diagnosis of discrete event systems using place invariants Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II, (541-547)

Radzikowska A A fuzzy approach to some set approximation operations Proceedings of the 15th international conference on Artificial neural networks: formal models and their applications - Volume Part II, (673-678)

Jiang F, Sui Y and Cao C Outlier detection using rough set theory Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part II, (79-87)

Bazan J, Peters J and Skowron A Behavioral pattern identification through rough set modelling Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part II, (688-697)

Li Z and Ruhe G Uncertainty handling in tabular-based requirements using rough sets Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part II, (678-687)

Wasilewska A and Menasalvas E A classification model Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part II, (59-68)

Liu Y, Tang H, Wang M and Sun S Application of rough set for routing selection based on OSPF protocol Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part II, (654-661)

Xie K, Chen Z and Qiu Y Fuzzy forecast modeling for gas furnace based on fuzzy sets and rough sets theory Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part II, (614-623)

Wang Z, Shao X, Zhang G and Zhu H Integration of variable precision rough set and fuzzy clustering Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part II, (585-593)

Chen X and Wei R A scheme for inference problems using rough sets and entropy Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part II, (558-567)

Eibe S, Del Saz R, Fernández C, Marbán Ó, Menasalvas E and Pérez C Financial risk prediction using rough sets tools Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part II, (495-502)

Wu W, Lee Y and Tzeng G Simplifying the manager competency model by using the rough set approach Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part II, (484-494)

Podraza R, Walkiewicz M and Dominik A Credibility coefficients in ARES rough set exploration system Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part II, (29-38)

Widz S, Revett K and Ślezak D A hybrid approach to MR imaging segmentation using unsupervised clustering and approximate reducts Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part II, (372-382)

Valdés J and Barton A Relevant attribute discovery in high dimensional data based on rough sets and unsupervised classification Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part II, (362-371)

Raś Z, Dardzińska A and Gürdal O Knowledge discovery based query answering in hierarchical information systems Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part II, (221-230)

He M and Feng B Intelligent information retrieval based on the variable precision rough set model and fuzzy sets Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part II, (184-192)

Nguyen H Approximate boolean reasoning approach to rough sets and data mining Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part II, (12-22)

Lingras P and Butz C Reducing the storage requirements of 1-v-1 support vector machine multi-classifiers Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part II, (166-173)

Li Y, Shiu S, Pal S and Liu J Rough learning vector quantization case generation for CBR classifiers Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part II, (128-137)

Li J and Cercone N A rough set based model to rank the importance of association rules Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part II, (109-118)

Qiu G, Zhang W and Wu W Characterizations of attributes in generalized approximation representation spaces Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I, (84-93)

Qi J, Wei L and Li Z A partitional view of concept lattice Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I, (74-83)

Chiang I, Lin T and Liu Y Table representations of granulations revisited Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I, (728-737)

Stepaniuk J and Skowron A Ontological framework for approximation Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I, (718-727)

Liu Q and Wang Q Granular logic with closeness relation "∼λ" and its reasoning Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I, (709-717)

Liang J, Qian Y, Chu C, Li D and Wang J Rough set approximation based on dynamic granulation Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I, (701-708)

Muto Y and Kudo M Discernibility-based variable granularity and kansei representations Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I, (692-700)

Zheng Z, Hu H and Shi Z Tolerance relation based granular space Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I, (682-691)

Allam A, Bakeir M and Abo-Tabl E New approach for basic rough set concepts Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I, (64-73)

Pagliani P Transforming information systems Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I, (660-670)

Fan T, Liu D and Tzeng G Arrow decision logic Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I, (651-659)

Zhang Z, Sui Y and Cao C Description of fuzzy first-order modal logic based on constant domain semantics Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I, (642-650)

Lee J A comparative evaluation of rough sets and probabilistic network algorithms on learning pseudo-independent domains Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I, (571-580)

Cao C, Sui Y and Xia Y The graph-theoretical properties of partitions and information entropy Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I, (561-570)

Doherty P, Łukaszewicz W and Szałas A Similarity, approximations and vagueness Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I, (541-550)

Wojcik Z System health prognostic model using rough sets Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I, (522-531)

Skowron A and Swiniarski R Rough sets and higher order vagueness Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I, (33-42)

Huynh V, Murai T, Ho T and Nakamori Y An extension of rough approximation quality to fuzzy classification Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I, (373-382)

Hong T, Pixi Z and Xiukun W CRST Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I, (364-372)

Wu W Upper and lower probabilities of fuzzy events induced by a fuzzy set-valued mapping Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I, (345-353)

Butz C, Yan W and Yang B The computational complexity of inference using rough set flow graphs Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I, (335-344)

Nakata M and Sakai H Rough sets handling missing values probabilistically interpreted Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I, (325-334)

Ziarko W Probabilistic rough sets Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I, (283-293)

Beaubouef T, Petry F and Ladner R Normalization in a rough relational database Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I, (275-282)

Milton R, Maheswari V and Siromoney A Studies on rough sets in multiple tables Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I, (265-274)

Grzymala-Busse J Incomplete data and generalization of indiscernibility relation, definability, and approximations Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I, (244-253)

Kudo M and Murai T A new treatment and viewpoint of information tables Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I, (234-243)

Suraj Z, Pancerz K and Owsiany G On consistent and partially consistent extensions of information systems Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I, (224-233)

Han J, Sanchez R and Hu X Feature selection based on relative attribute dependency Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I, (214-223)

Jensen R, Shen Q and Tuson A Finding rough set reducts with SAT Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I, (194-203)

Hu F, Wang G, Huang H and Wu Y Incremental attribute reduction based on elementary sets Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I, (185-193)

Wróblewski J Pairwise cores in information systems Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I, (166-175)

Dai J Logic for rough sets with rough double stone algebraic semantics Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I, (141-148)

Liu G Rough sets over the boolean algebras Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I, (124-131)

Wasilewski P Concept lattices vs. approximation spaces Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I, (114-123)

Miao D, Han S, Li D and Sun L Rough group, rough subgroup and their properties Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I, (104-113)

Pawlak Z Rough sets and flow graphs Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I, (1-11)

Wang S, Shi W, Yuan H and Chen G Attribute uncertainty in GIS data Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part II, (614-623)

Huang X, Wu M, Xia D and Yan P Difference-similitude matrix in text classification Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part II, (21-30)

Li M, Wang T, Zhang B and Ye B A novel method of image retrieval based on combination of semantic and visual features Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I, (619-628)

Hu Q and Yu D An improved clustering algorithm for information granulation Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I, (494-504)

Wang G, Zhao J and Qian J A successive design method of rough controller using extra excitation Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I, (1266-1270)

Yue C, Yao S, Zhang P and Cui W Rough approximation of a preference relation for stochastic multi-attribute decision problems Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I, (1242-1245)

Qin K, Pei Z and Du W The relationship among several knowledge reduction approaches Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I, (1232-1241)

Wang Q, Dai H and Sun Y Develop multi-hierarchy classification model Proceedings of the Third international conference on Advances in Pattern Recognition - Volume Part I, (164-171)

Al-Radaideh Q, Sulaiman M, Selamat M and Ibrahim H Feature selection by ordered rough set based feature weighting Proceedings of the 16th international conference on Database and Expert Systems Applications, (105-112)

Tsang E, Zhao S, Yeung D and Lee J Learning from an incomplete information system with continuous-valued attributes by a rough set technique Proceedings of the 4th international conference on Advances in Machine Learning and Cybernetics, (568-577)

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Inuiguchi M Several approaches to attribute reduction in variable precision rough set model Proceedings of the Second international conference on Modeling Decisions for Artificial Intelligence, (215-226)

Sakai H, Murai T and Nakata M On a tool for rough non-deterministic information analysis and its perspective for handling numerical data Proceedings of the Second international conference on Modeling Decisions for Artificial Intelligence, (203-214)

Liu Y, Tang H, Wang M and Sun S Routing attribute data mining based on rough set theory Proceedings of the First international conference on Advanced Data Mining and Applications, (276-283)

Bobrowski L Ranked modelling with feature selection based on the CPL criterion functions Proceedings of the 4th international conference on Machine Learning and Data Mining in Pattern Recognition, (218-227)

Bao Y, Tsuchiya E, Ishii N and Du X Classification by instance-based learning algorithm Proceedings of the 6th international conference on Intelligent Data Engineering and Automated Learning, (133-140)

Martín-Vide C and Mitrana V Contextual information systems Proceedings of the 5th international conference on Modeling and Using Context, (304-315)

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Li Q and Li J Topic-specific text filtering based on multiple reducts Proceedings of the 2005 international conference on Autonomous Intelligent Systems: agents and Data Mining, (175-183)

Fan Y, Chen Y, Sun W, Liu D and Chai Y Contingency screening of power system based on rough sets and fuzzy ARTMAP Proceedings of the Second international conference on Advances in Neural Networks - Volume Part III, (654-661)

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Grzeszczyk T Approximate reasoning in structural funds knowledge management system Proceedings of the 4th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering Data Bases, (1-6)

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Xiao S and Lai E Instruction scheduling of VLIW architectures for balanced power consumption Proceedings of the 2005 Asia and South Pacific Design Automation Conference, (824-829)

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Wang D, Liau C and Hsu T (2004). Medical privacy protection based on granular computing, Artificial Intelligence in Medicine, 32:2, (137-149), Online publication date: 1-Oct-2004.

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Huang C, Chen Y and Chen A An association mining method for time series and its application in the stock prices of TFT-LCD industry Proceedings of the 4th international conference on Advances in Data Mining: applications in Image Mining, Medicine and Biotechnology, Management and Environmental Control, and Telecommunications, (117-126)

Lingras P and West C (2004). Interval Set Clustering of Web Users with Rough K-Means, Journal of Intelligent Information Systems, 23:1, (5-16), Online publication date: 1-Jul-2004.

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Tsumoto S and Hirano S Visualization of Rule's Similarity using Multidimensional Scaling Proceedings of the Third IEEE International Conference on Data Mining

Guan J, Bell D and Liu D The Rough Set Approach to Association Rule Mining Proceedings of the Third IEEE International Conference on Data Mining

Tsumoto S and Hirano S Pattern Discovery based on Rule Induction and Taxonomy Generation Proceedings of the Third IEEE International Conference on Data Mining

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Stepaniuk J and Hońko P (2003). Learning First-Order Rules: A Rough Set Approach, Fundamenta Informaticae, 61:2, (139-157), Online publication date: 1-Nov-2003.

Pancerz K and Suraj Z (2003). Discovery of Asynchronous Concurrent Models from Experimental Tables, Fundamenta Informaticae, 61:2, (97-116), Online publication date: 1-Nov-2003.

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Wilczynski B, Hvidsten T, Kryshtafovych A, Stubbs L, Komorowski J and Fidelis K A rule-based framework for gene regulation pathways discovery Proceedings of the IEEE Computer Society Conference on Bioinformatics

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Peters J, Skowron A, Synak P and Ramanna S Rough sets and information granulation Proceedings of the 10th international fuzzy systems association World Congress conference on Fuzzy sets and systems, (370-377)

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Bell D and Guan J Data mining for motifs in DNA sequences Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing, (507-514)

Ou C, Liu C, Huang J and Zhong N On data mining for direct marketing Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing, (491-498)

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Li Y and Fang T Rough set methods for constructing support vector machines Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing, (334-338)

Cao C, Sui Y and Zhang Z Rough mereology in knowledge representation Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing, (329-333)

Huang J, Li S and Man C A T-S type of rough fuzzy control system and its implementation Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing, (325-328)

Sui Y, Xia Y and Wang J The information entropy of rough relational databases Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing, (320-324)

Tsumoto S Linear independence in contingency table Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing, (316-319)

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Peters J, Ramanna S and Szczuka M Towards a line-crawling robot obstacle classification system Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing, (303-307)

Suraj Z and Pancerz K A synthesis of concurrent systems Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing, (299-302)

Chin K, Liang J and Dang C Rough set data analysis algorithms for incomplete information systems Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing, (264-268)

Semeniuk-Polkowska M and Polkowski L Conjugate information systems Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing, (255-258)

Jensen R and Shen Q Using fuzzy dependency-guided attribute grouping in feature selection Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing, (250-254)

Tsumoto S Characteristics of accuracy and coverage in rule induction Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing, (237-244)

Skowron A and Synak P Reasoning based on information changes in information maps Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing, (229-236)

Peters J, Feng H and Ramanna S Adaptive granular control of an HVDC system Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing, (213-220)

Vitória A, Damásio C and Małuszyński J Query answering in rough knowledge bases Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing, (197-204)

Ziarko W Evaluation of probabilistic decision tables Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing, (189-196)

Bazan J, Son N, Skowron A and Szczuka M A view on rough set concept approximations Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing, (181-188)

Wei L and Zhang W Probabilistic rough sets characterized by fuzzy sets Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing, (173-180)

Yao Y, Zhao Y and Maguire R Explanation oriented association mining using rough set theory Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing, (165-172)

Pagliani P Pre-topologies and dynamic spaces Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing, (146-155)

Miao D and Hou L An application of rough sets to Monk's problems solving Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing, (138-145)

Polkowski L Rough mereology Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing, (106-113)

Pal S and Mitra P Rough sets, EM algorithm, MST and multispectral image segmentation Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing, (104-105)

Tsumoto S Extracting structure of medical diagnosis Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing, (78-88)

Polkowski L A rough set paradigm for unifying rough set theory and fuzzy set theory Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing, (70-77)

Yao Y On generalizing rough set theory Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing, (44-51)

Skowron A and Peters J Rough sets Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing, (25-34)

Zhang L and Zhang B The quotient space theory of problem solving Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing, (11-15)

Wu W, Mi J and Zhang W (2003). Generalized fuzzy rough sets, Information Sciences: an International Journal, 151, (263-282), Online publication date: 1-May-2003.

Hirano S and Tsumoto S Dealing with relative similarity in clustering Proceedings of the 7th Pacific-Asia conference on Advances in knowledge discovery and data mining, (513-518)

Doherty P, Grabowski M, Łukaszewicz W and Szałas A (2003). Towards a Framework for Approximate Ontologies, Fundamenta Informaticae, 57:2-4, (147-165), Online publication date: 1-Apr-2003.

Vitória A, Damásio C and Małuszyński J (2003). From Rough Sets to Rough Knowledge Bases, Fundamenta Informaticae, 57:2-4, (215-246), Online publication date: 1-Apr-2003.

Skowron A, Stepaniuk J and Peters J (2003). Rough Sets and Infomorphisms: Towards Approximation of Relations in Distributed Environments, Fundamenta Informaticae, 54:2-3, (263-277), Online publication date: 1-Apr-2003.

Chen W, Yang M and Tseng S The bitmap-based feature selection method Proceedings of the 2003 ACM symposium on Applied computing, (465-469)

Vitória A, Damásio C and Maluszyński J (2003). From rough sets to rough knowledge bases, Fundamenta Informaticae, 57:2-4, (215-246), Online publication date: 1-Feb-2003.

Doherty P, Grabowski M, Łukaszewicz W and Szałas A (2003). Towards a framework for approximate ontologies, Fundamenta Informaticae, 57:2-4, (147-165), Online publication date: 1-Feb-2003.

Polkowski L and Semeniuk-Polkowska M Rough-fuzzy-neurocomputing based on rough mereological calculus of granules Design and application of hybrid intelligent systems, (623-630)

Bajcar S, Grzymala-Busse J, Grzymala-Busse W and Hippe Z Diagnosis of melanoma based on data mining and ABCD formulas Design and application of hybrid intelligent systems, (614-622)

Nguyen H and Nguyen S Approximated measures in construction of decision trees from large databases Design and application of hybrid intelligent systems, (595-604)

Demolombe R (2003). An Extended Relational Algebra on Abstract Objects for Summarizing Answers to Queries, Fundamenta Informaticae, 57:1, (1-15), Online publication date: 1-Jan-2003.

Polkowski L (2003). Rough Mereology: A Rough Set Paradigm for Unifying Rough Set Theory and Fuzzy Set Theory, Fundamenta Informaticae, 54:1, (67-88), Online publication date: 1-Jan-2003.

Pindur R and Susmaga R (2003). Fast rule extraction with binary-coded relations, Intelligent Data Analysis, 7:1, (27-42), Online publication date: 1-Jan-2003.

Demolombe R (2003). An Extended Relational Algebra on Abstract Objects for Summarizing Answers to Queries, Fundamenta Informaticae, 57:1, (1-15), Online publication date: 1-Jan-2003.

Pal S, Mitra S and Mitra P (2003). Rough-Fuzzy MLP, IEEE Transactions on Knowledge and Data Engineering, 15:1, (14-25), Online publication date: 1-Jan-2003.

Sarkar M (2002). Rough-fuzzy functions in classification, Fuzzy Sets and Systems, 132:3, (353-369), Online publication date: 16-Dec-2002.

Fan T, Liau C and Yao Y (2002). On Modal and Fuzzy Decision Logics Based on Rough Set Theory, Fundamenta Informaticae, 52:4, (323-344), Online publication date: 1-Dec-2002.

Mousavi A and Jabedar-Maralani P (2002). Double-faced rough sets and rough communication, Information Sciences: an International Journal, 148:1-4, (41-53), Online publication date: 1-Dec-2002.

Pawlak Z (2002). Rough sets and intelligent data analysis, Information Sciences: an International Journal, 147:1-4, (1-12), Online publication date: 1-Oct-2002.

Słowiński K, Stefanowski J and Siwiński D (2002). Application of Rule Induction and Rough Sets to Verification of Magnetic Resonance Diagnosis, Fundamenta Informaticae, 53:3-4, (345-363), Online publication date: 1-Aug-2002.

Polkowski L and Araszkiewicz B (2002). A Rough Set Approach to Estimating the Game Value and the Shapley Value from Data, Fundamenta Informaticae, 53:3-4, (335-343), Online publication date: 1-Aug-2002.

Polkowski L (2002). On Fractal Dimension in Information Systems. Toward Exact Sets in Infinite Information Systems, Fundamenta Informaticae, 50:3-4, (305-314), Online publication date: 1-Aug-2002.

Skowron A, Stepaniuk J and Peters J (2002). Rough sets and infomorphisms, Fundamenta Informaticae, 54:2-3, (263-277), Online publication date: 15-Jun-2002.

Polkowski L (2002). Rough mereology, Fundamenta Informaticae, 54:1, (67-88), Online publication date: 1-Jun-2002.