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Amit Kumar 0003
Person information
- affiliation: Thapar University, School of Mathematics and Computer Applications, Patiala, India
Other persons with the same name
- Amit Kumar — disambiguation page
- Amit Kumar 0001
— Indian Institute of Technology Delhi, Department of Computer Science and Engineering, New Delhi, India (and 1 more)
- Amit Kumar 0002 — Princeton University, Department of Electrical Engineering, Princeton, NJ, USA
- Amit Kumar 0004 — University of Iowa, Iowa City, IA, USA
- Amit Kumar 0005 — University of Illinois at Urbana-Champaign
- Amit Kumar 0006
- Amit Kumar 0007 — University of Wisconsin-Madison, Madison, WI, USA
- Amit Kumar 0008 — Intel
- Amit Kumar 0009
- Amit Kumar 0010
- Amit Kumar 0011
- Amit Kumar 0012
- Amit Kumar 0013
- Amit Kumar 0014
- Amit Kumar 0015
- Amit Kumar 0016 — Indian Institute of Technology Indore, Discipline of Biosciences and Biomedical Engineering, India (and 1 more)
- Amit Kumar 0017
- Amit Kumar 0018 — CSIR-Institute of Himalayan Bioresource Technology, RS-GIS Laboratory, Palampur, India
- Amit Kumar 0019 (aka: Amit Kumar Gautam) — CSIR-Indian Institute of Integrative Medicine, Discovery Informatics Division, Jammu, India
- Amit Kumar 0020 — Indraprastha Institute of Information Technology (IIIT), Delhi, India
- Amit Kumar 0021 — Duke University Medical Center, Durham, NC, USA
- Amit Kumar 0022 — Keio University, Department of Electrical and Electronics Engineering, Tokyo, Japan
- Amit Kumar 0023 — Jaypee University of Engineering and Technology, Department of Computer Science and Engineering, Guna, India
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2020 – today
- 2024
- [j75]Kirti, Tina Verma, Amit Kumar
Modified approaches to solve matrix games with payoffs of single-valued trapezoidal neutrosophic numbers. Soft Comput. 28(1): 1-50 (2024) - [j74]Raina Ahuja, Amit Kumar, S. S. Appadoo:
Multi-criteria decision-making using a complete ranking of generalized trapezoidal fuzzy numbers: modified results. Soft Comput. 28(13-14): 7589-7600 (2024) - 2023
- [b5]Tanveen Kaur Bhatia, Amit Kumar, Srimantoorao Semischetty Appadoo:
More-for-Less Solutions in Fuzzy Transportation Problems. Springer 2023, ISBN 978-3-031-30336-4, pp. 1-159 - [j73]Tanveen Kaur Bhatia, Amit Kumar
A method to solve Pythagorean fuzzy transportation problems. Int. J. Syst. Assur. Eng. Manag. 14(5): 1847-1854 (2023) - [p1]Tanveen Kaur Bhatia, Amit Kumar, S. S. Appadoo:
A Note on "Parameter Estimation and Optimization of Multi-objective Capacitated Stochastic Transportation Problem for Gamma Distribution". Real Life Applications of Multiple Criteria Decision Making Techniques in Fuzzy Domain 2023: 567-588 - 2022
- [j72]Tanveen Kaur Bhatia, Amit Kumar, M. K. Sharma, S. S. Appadoo:
Mehar approach to solve fuzzy linear fractional minimal cost flow problems. J. Intell. Fuzzy Syst. 43(1): 1035-1051 (2022) - [j71]S. S. Appadoo, Mohammadreza Makhan, Amit Kumar:
A note on "Dealer using a new trapezoidal cubic hesitant fuzzy TOPSIS method and application to group decision-making program". Soft Comput. 26(15): 7139-7141 (2022) - [j70]Tanveen Kaur Bhatia, Amit Kumar, M. K. Sharma, S. S. Appadoo:
Mehar approach to solve neutrosophic linear programming problems using possibilistic mean. Soft Comput. 26(17): 8479-8495 (2022) - [j69]S. S. Appadoo, Mohammadreza Makhan, Amit Kumar:
A note on "Pythagorean uncertain linguistic hesitant fuzzy weighted averaging operator and its application in financial group decision making". Soft Comput. 26(17): 8841-8843 (2022) - [j68]Tanveen Kaur Bhatia, Amit Kumar, Mahesh Kumar Sharma:
Mehar approach to solve fuzzy linear fractional transportation problems. Soft Comput. 26(21): 11525-11551 (2022) - 2021
- [b4]Akansha Mishra, Amit Kumar:
Aggregation Operators for Various Extensions of Fuzzy Set and Its Applications in Transportation Problems. Studies in Fuzziness and Soft Computing 399, Springer 2021, ISBN 978-981-15-6997-5, pp. 1-262 - [j67]Akansha Mishra, Amit Kumar, S. S. Appadoo:
Commentary on "D-Intuitionistic Hesitant Fuzzy Sets and Their Application in Multiple Attribute Decision Making". Cogn. Comput. 13(4): 1047-1048 (2021) - [j66]S. S. Appadoo, Mohammadreza Makhan, Amit Kumar:
Commentary on "Utilizing Linguistic Picture Fuzzy Aggregation Operators for Multiple-Attribute Decision-Making Problems". Int. J. Fuzzy Syst. 23(6): 1914-1917 (2021) - [j65]Tanveen Kaur Bhatia, Amit Kumar, S. S. Appadoo:
A novel approach for solving all-pairs shortest path problem in an interval-valued fuzzy network: Suggested modifications. J. Intell. Fuzzy Syst. 41(6): 6389-6406 (2021) - 2020
- [b3]Tina Verma, Amit Kumar:
Fuzzy Solution Concepts for Non-cooperative Games - Interval, Fuzzy and Intuitionistic Fuzzy Payoffs. Studies in Fuzziness and Soft Computing 383, Springer 2020, ISBN 978-3-030-16161-3, pp. 1-166 - [b2]Amarpreet Kaur, Janusz Kacprzyk, Amit Kumar:
Fuzzy Transportation and Transshipment Problems. Studies in Fuzziness and Soft Computing 385, Springer 2020, ISBN 978-3-030-26675-2, pp. 1-228 - [j64]Arshdeep Kaur, Amit Kumar:
Commentary on "On Intuitionistic Fuzzy Copula Aggregation Operators in Multiple-Attribute Decision Making". Cogn. Comput. 12(4): 891-895 (2020) - [j63]Akansha Mishra, Amit Kumar, S. S. Appadoo:
A note on "Novel scaled prioritized intuitionistic fuzzy soft interaction averaging aggregation operators and their application to multi criteria decision making". Eng. Appl. Artif. Intell. 87 (2020) - [j62]Akansha Mishra, Amit Kumar:
JMD method for transforming an unbalanced fully intuitionistic fuzzy transportation problem into a balanced fully intuitionistic fuzzy transportation problem. Soft Comput. 24(20): 15639-15654 (2020)
2010 – 2019
- 2019
- [j61]Arshdeep Kaur, Amit Kumar
Commentary on "A geometric approach for ranking interval-valued intuitionistic fuzzy numbers with an application to group decision-making". Comput. Ind. Eng. 135: 314-316 (2019) - [j60]Arshdeep Kaur, Amit Kumar, S. S. Appadoo:
A Note on "Approaches to Interval Intuitionistic Trapezoidal Fuzzy Multiple Attribute Decision Making with Incomplete Weight Information". Int. J. Fuzzy Syst. 21(3): 1010-1011 (2019) - [j59]Arshdeep Kaur, Amit Kumar, S. S. Appadoo:
Commentary on "A reply to a Note on the paper "A simplified novel technique for solving fully fuzzy linear programming problems"". J. Intell. Fuzzy Syst. 36(6): 5685-5691 (2019) - [j58]Akanksha Singh
A novel method for solving the fully neutrosophic linear programming problems: Suggested modifications. J. Intell. Fuzzy Syst. 37(1): 885-895 (2019) - [j57]Akansha Mishra, Amit Kumar, Meraj Ali Khan
A note on "Transportation problem under interval-valued intuitionistic fuzzy environment". J. Intell. Fuzzy Syst. 37(1): 897-900 (2019) - [j56]Akansha Mishra, Amit Kumar:
Commentary on "New aggregation operators of single-valued neutrosophic hesitant fuzzy set and their application in multi-attribute decision making". Pattern Anal. Appl. 22(3): 1207-1209 (2019) - [j55]Abdullah Al-Qudaimi, Amit Kumar:
Comment on "Least-squares approach to regression modeling in full interval-valued fuzzy environment". Soft Comput. 23(20): 10019-10027 (2019) - 2018
- [j54]Akansha Mishra, Amit Kumar, Meraj Ali Khan
A note on "Fuzzy Hungarian MODI algorithm to solve fully fuzzy transportation problems". J. Intell. Fuzzy Syst. 35(1): 659-662 (2018) - [j53]Akanksha Singh
Mehar ranking method for comparing connection numbers and its application in decision making. J. Intell. Fuzzy Syst. 35(5): 5523-5528 (2018) - [j52]Tina Verma
Ambika Methods for Solving Matrix Games With Atanassov's Intuitionistic Fuzzy Payoffs. IEEE Trans. Fuzzy Syst. 26(1): 270-283 (2018) - 2017
- [j51]Asmita Pandey, Amit Kumar:
Commentary on "Evaluating the criteria for human resource for science and technology (HRST) based on an integrated fuzzy AHP and fuzzy DEMATEL approach". Appl. Soft Comput. 51: 351-352 (2017) - [j50]Jagdeep Kaur, Amit Kumar:
Commentary on "Calculating fuzzy inverse matrix using fuzzy linear equation system". Appl. Soft Comput. 58: 324-327 (2017) - [j49]Jagdeep Kaur, Amit Kumar
Commentary on "On solving a multiobjective fixed charge problem with imprecise fractional objectives". Appl. Soft Comput. 61: 681-682 (2017) - [j48]Abdullah Al-Qudaimi, Amit Kumar:
A note on "A new fuzzy regression model based on absolute deviation". Eng. Appl. Artif. Intell. 66: 30-32 (2017) - [j47]Jeevan Jot Kaur, Amit Kumar:
A note on "approximate solution of dual fuzzy matrix equations". Inf. Sci. 418: 184-185 (2017) - [j46]Jagdeep Kaur, Amit Kumar:
A novel method for solving fully fuzzy linear fractional programming problems. J. Intell. Fuzzy Syst. 33(4): 1983-1990 (2017) - 2016
- [b1]Jagdeep Kaur, Amit Kumar:
An Introduction to Fuzzy Linear Programming Problems - Theory, Methods and Applications. Studies in Fuzziness and Soft Computing 340, Springer 2016, ISBN 978-3-319-31273-6, pp. 1-119 - [j45]Gourav Gupta, Jagdeep Kaur, Amit Kumar:
A note on "Fully fuzzy fixed charge multi-item solid transportation problem". Appl. Soft Comput. 41: 418-419 (2016) - [j44]Gourav Gupta, Amit Kumar, M. K. Sharma:
A Note on "A New Method for Solving Fuzzy Linear Programming Problems Based on the Fuzzy Linear Complementary Problem (FLCP)". Int. J. Fuzzy Syst. 18(2): 333-337 (2016) - [j43]Asmita Pandey
A note on "Applying fuzzy linguistic preference relations to the improvement of consistency of fuzzy AHP". Inf. Sci. 346-347: 1-5 (2016) - [j42]Asmita Pandey, Yejun Xu
Corrigendum to ''A note on ''Applying fuzzy linguistic preference relations to the improvement of consistency of fuzzy AHP" '' [Information Sciences 346-347 (2016) 1-5]. Inf. Sci. 366: 202-203 (2016) - [j41]Sukhpreet Kaur Sidhu, Amit Kumar:
A note on "Solving intuitionistic fuzzy linear programming problems by ranking function". J. Intell. Fuzzy Syst. 30(5): 2787-2790 (2016) - [j40]Gourav Gupta, Amit Kumar, S. S. Appadoo:
A note on "Ranking generalized exponential trapezoidal fuzzy numbers based on variance". J. Intell. Fuzzy Syst. 31(1): 213-215 (2016) - [j39]Jeevan Jot Kaur, Amit Kumar:
Mehar and Keerat method for solving system of fuzzy complex linear equations. J. Intell. Fuzzy Syst. 31(3): 1955-1965 (2016) - [j38]Harwinder Kaur, Amit Kumar:
A Note on the Paper "Duality Theory for Optimization Problems with Interval-Valued Objective Functions". J. Optim. Theory Appl. 169(1): 344-347 (2016) - [c6]Tina Verma, Amit Kumar:
Jagdambika Method for Solving Matrix Games with Fuzzy Payoffs. WCSC 2016: 259-269 - 2015
- [j37]Pushpinder Singh
A novel method for ranking of vague sets for handling the risk analysis of compressor system. Appl. Soft Comput. 26: 202-212 (2015) - [j36]Tina Verma, Amit Kumar:
A Note on "A Lexicographic Method for Matrix Games with Payoffs of Triangular Intuitionistic Fuzzy Numbers". Int. J. Comput. Intell. Syst. 8(4): 690-700 (2015) - [j35]Tina Verma, Amit Kumar, Janusz Kacprzyk
A Novel Approach to the Solution of Matrix Games with Payoffs Expressed by Trapezoidal Intuitionistic Fuzzy Numbers. J. Autom. Mob. Robotics Intell. Syst. 9(3): 25-46 (2015) - [j34]Tina Verma, Amit Kumar, S. S. Appadoo:
Modified difference-index based ranking bilinear programming approach to solving bimatrix games with payoffs of trapezoidal intuitionistic fuzzy numbers. J. Intell. Fuzzy Syst. 29(4): 1607-1618 (2015) - 2014
- [j33]Parmpreet Kaur, Amit Kumar
Linear programming approach for solving fuzzy critical path problems with fuzzy parameters. Appl. Soft Comput. 21: 309-319 (2014) - [j32]Manjit Verma, Amit Kumar:
A novel general approach to evaluating the reliability of gas turbine system. Eng. Appl. Artif. Intell. 28: 13-21 (2014) - [j31]Amit Kumar, S. S. Appadoo, C. R. Bector:
A note on "Generalized fuzzy linear programming for decision making under uncertainty: Feasibility of fuzzy solutions and solving approach". Inf. Sci. 266: 226-227 (2014) - [j30]Amit Kumar, Jagdeep Kaur:
Fuzzy optimal solution of fully fuzzy linear programming problems using ranking function. J. Intell. Fuzzy Syst. 26(1): 337-344 (2014) - [j29]Tina Verma, Amit Kumar:
A note on "A methodology for matrix games with payoffs of triangular intuitionistic fuzzy number". J. Intell. Fuzzy Syst. 27(4): 1689-1691 (2014) - [j28]Bindu Bhardwaj, Amit Kumar:
A Note on the Paper "A Simplified Novel Technique for Solving Fully Fuzzy Linear Programming Problems". J. Optim. Theory Appl. 163(2): 685-696 (2014) - 2013
- [j27]Manjot Kaur, Amit Kumar:
Method for solving unbalanced fully fuzzy multi-objective solid minimal cost flow problems. Appl. Intell. 38(2): 239-254 (2013) - [j26]Amit Kumar, Abhinav Bansal, Neetu Babbar:
Fully fuzzy linear systems of triangular fuzzy numbers (a, b, c). Int. J. Intell. Comput. Cybern. 6(1): 21-44 (2013) - [j25]Manjit Verma, Amit Kumar, Pushpinder Singh
Risk analysis of combustion system using vague ranking method. J. Intell. Fuzzy Syst. 24(4): 765-773 (2013) - [j24]Neha Bhatia, Amit Kumar:
A new method for sensitivity analysis of fuzzy transportation problems. J. Intell. Fuzzy Syst. 25(1): 167-175 (2013) - [j23]Neetu Babbar, Amit Kumar, Abhinav Bansal:
Linear programming approach to find the solution of fully fuzzy linear systems with arbitrary fuzzy coefficients. J. Intell. Fuzzy Syst. 25(3): 747-753 (2013) - [j22]Manjit Verma, Amit Kumar, Yaduvir Singh, Ajith Abraham:
Application of the weakest t-norm (Tω) based vague lambda-tau methodology for reliability analysis of gas turbine system. J. Intell. Fuzzy Syst. 25(4): 907-918 (2013) - [j21]Jagdeep Kaur, Amit Kumar:
A New Method to Find the Unique Fuzzy Optimal Value of Fuzzy Linear Programming Problems. J. Optim. Theory Appl. 156(2): 529-534 (2013) - [j20]Manjit Verma, Amit Kumar, Yaduvir Singh, Tofigh Allahviranloo
Application of non-normal p-norm trapezoidal fuzzy number in reliability evaluation of electrical substations. Neural Comput. Appl. 23(2): 531-539 (2013) - [j19]Parmpreet Kaur, Amit Kumar:
Modification in Chen and Tsai's method for solving time-cost trade-off problems of project networks in fuzzy environments. Neural Comput. Appl. 23(3-4): 1045-1050 (2013) - [j18]Neetu Babbar, Amit Kumar, Abhinav Bansal:
Solving fully fuzzy linear system with arbitrary triangular fuzzy numbers (m, α, β). Soft Comput. 17(4): 691-702 (2013) - [c5]Gourav Gupta, Amit Kumar, M. K. Sharma:
Additive and Multiplicative Inverse of Generalized Fuzzy Numbers with Different Left Heights and Right Heights. SocProS (1) 2013: 535-538 - 2012
- [j17]Jagdeep Kaur, Amit Kumar:
Exact fuzzy optimal solution of fully fuzzy linear programming problems with unrestricted fuzzy variables. Appl. Intell. 37(1): 145-154 (2012) - [j16]Amarpreet Kaur, Amit Kumar:
A new approach for solving fuzzy transportation problems using generalized trapezoidal fuzzy numbers. Appl. Soft Comput. 12(3): 1201-1213 (2012) - [j15]Sneh Lata, Amit Kumar:
A new method to solve time-dependent intuitionistic fuzzy differential equations and its application to analyze the intuitionistic fuzzy reliability of industrial systems. Concurr. Eng. Res. Appl. 20(3): 177-184 (2012) - [j14]Amit Kumar, Neha Bhatia:
Sensitivity analysis for fuzzy linear programming problems based on interval-valued fuzzy numbers. Int. J. Math. Oper. Res. 4(5): 531-547 (2012) - [j13]Amit Kumar, Neetu Babbar, Abhinav Bansal:
A new computational method to solve fully fuzzy linear systems for negative coefficient matrix. Int. J. Manuf. Technol. Manag. 25(1/2/3): 19-32 (2012) - [j12]Amit Kumar, Amarpreet Kaur:
Optimization for different types of transportation problems with fuzzy coefficients in the objective function. J. Intell. Fuzzy Syst. 23(5): 237-248 (2012) - [j11]Anila Gupta, Amit Kumar, Amarpreet Kaur:
Mehar's method to find exact fuzzy optimal solution of unbalanced fully fuzzy multi-objective transportation problems. Optim. Lett. 6(8): 1737-1751 (2012) - [j10]Amit Kumar, Amarpreet Kaur:
Methods for solving unbalanced fuzzy transportation problems. Oper. Res. 12(3): 287-316 (2012) - [j9]Manjit Verma, Amit Kumar:
A new approach for analysis the fuzzy reliability using LR type interval valued flat vague set. Int. J. Syst. Assur. Eng. Manag. 3(4): 360-370 (2012) - 2011
- [j8]Amit Kumar, Neetu Babbar, Abhinav Bansal:
A New Approach for Solving Fully Fuzzy Linear Systems. Adv. Fuzzy Syst. 2011: 943161:1-943161:8 (2011) - [j7]Amit Kumar, Pushpinder Singh
A new approach for ranking nonnormal p-norm trapezoidal fuzzy numbers. Comput. Math. Appl. 61(4): 881-887 (2011) - [j6]Amit Kumar, Pushpinder Singh
A new approach for ranking of L-R type generalized fuzzy numbers. Expert Syst. Appl. 38(9): 10906-10910 (2011) - [j5]Amit Kumar, Manjot Kaur:
An algorithm for solving fuzzy maximal flow problems using generalized triangular fuzzy numbers. Int. J. Hybrid Intell. Syst. 8(1): 15-24 (2011) - [j4]Amit Kumar, Parmpreet Kaur:
A new approach for fuzzy critical path analysis. Int. J. Math. Oper. Res. 3(3): 341-357 (2011) - [j3]Amit Kumar, Amarpreet Kaur:
Methods for Solving Fully Fuzzy Transportation Problems Based on Classical Transportation Methods. Int. J. Oper. Res. Inf. Syst. 2(4): 52-71 (2011) - [j2]Amit Kumar, Amarpreet Kaur, Anila Gupta:
Fuzzy Linear Programming Approach for Solving Fuzzy Transportation Problems with Transshipment. J. Math. Model. Algorithms 10(2): 163-180 (2011) - [j1]Amit Kumar, Pushpinder Singh
RM approach for ranking of L-R type generalized fuzzy numbers. Soft Comput. 15(7): 1373-1381 (2011) - [c4]Amit Kumar, Neha Bhatia:
Sensitivity Analysis for Fuzzy Linear Programming Problems. RSFDGrC 2011: 103-110 - [c3]Amit Kumar, Amarpreet Kaur, Manjot Kaur:
Fuzzy Optimal Solution of Fuzzy Transportation Problems with Transshipments. RSFDGrC 2011: 167-170 - [c2]Amit Kumar, Parmpreet Kaur, Jagdeep Kaur:
Fuzzy Optimal Solution of Fully Fuzzy Project Crashing Problems with New Representation of LR Flat Fuzzy Numbers. RSFDGrC 2011: 171-174
2000 – 2009
- 2009
- [c1]Amit Kumar, Neha Bhatia, Manjot Kaur:
A New Approach for Solving Fuzzy Maximal Flow Problems. RSFDGrC 2009: 278-286
Coauthor Index
S. S. Appadoo
aka: Srimantoorao Semischetty Appadoo
aka: Srimantoorao Semischetty Appadoo
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last updated on 2024-12-08 01:30 CET by the dblp team
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