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MDAI 2009: Awaji Island, Japan
- Vicenç Torra
, Yasuo Narukawa, Masahiro Inuiguchi:
Modeling Decisions for Artificial Intelligence, 6th International Conference, MDAI 2009, Awaji Island, Japan, November 30-December 2, 2009. Proceedings. Lecture Notes in Computer Science 5861, Springer 2009, ISBN 978-3-642-04819-7
Invited Papers
- Roman Slowinski
Interactive Robust Multiobjective Optimization Driven by Decision Rule Preference Model. 1-4 - Ana Casali
g-BDI: A Graded Intensional Agent Model for Practical Reasoning. 5-20 - Hiroyuki Tamura:
Modeling Ambiguity Averse Behavior of Individual Decision Making: Prospect Theory under Uncertainty. 21-36 - Sadaaki Miyamoto:
Generalized Bags, Bag Relations, and Applications to Data Analysis and Decision Making. 37-54 - Weldon A. Lodwick:
The Relationship between Interval, Fuzzy and Possibilistic Optimization. 55-59
Aggregation Operators, Fuzzy Measures and Game Theory
- Wladyslaw Homenda:
Decision Making in Voting Games: An Insight into Theory and Practice. 60-71 - Nobusumi Sagara
A Lyapunov-Type Theorem for Nonadditive Vector Measures. 72-80 - Marc Daumas, Érik Martin-Dorel, Annick Truffert, Michel Ventou:
A Formal Theory of Cooperative TU-Games. 81-91 - Josep Domingo-Ferrer:
The Functionality-Security-Privacy Game. 92-101 - Satoshi Masuya, Masahiro Inuiguchi:
Toward the Theory of Cooperative Games under Incomplete Information. 102-113 - Petr Krajca
Comparison of Data Structures for Computing Formal Concepts. 114-125
Decision Making
- Paul A. Ardis, Christopher M. Brown:
Using Conditional Random Fields for Decision-Theoretic Planning. 126-136 - Hitoshi Yano:
Interactive Decision Making for Hierarchical Multiobjective Linear Programming Problems. 137-148 - Yuji Yoshida:
A Perception-Based Portfolio Under Uncertainty: Minimization of Average Rates of Falling. 149-160 - Gexiang Zhang
A Differential Evolution Based Time-Frequency Atom Decomposition for Analyzing Emitter signals. 161-171 - Alan Eckhardt, Peter Vojtás
Combining Various Methods of Automated User Decision and Preferences Modelling. 172-181 - Hongbin Yan, Van-Nam Huynh, Yoshiteru Nakamori:
Target-Oriented Decision Analysis with Different Target Preferences. 182-193 - Yong Li, Jianping Yin, Jun Long, En Zhu:
A Novel Method for Multibiometric Fusion Based on FAR and FRR. 194-204 - Fredrik Johansson, Göran Falkman
Performance Evaluation of TEWA Systems for Improved Decision Support. 205-216 - Van-Nam Huynh:
Discounting and Combination Scheme in Evidence Theory for Dealing with Conflict in Information Fusion. 217-230 - Tomoe Entani:
Evaluation Based on Pessimistic Efficiency in Interval DEA. 231-238 - Hiroaki Ishii, Yung Lung Lee, Kuang Yih Yeh:
Stochastic Facility Construction Problem with Preference of Candidate Sites. 239-246 - Sergio Alonso
A Consensus Reaching Model for Web 2.0 Communities. 247-258
Clustering and Similarity
- Sadaaki Miyamoto:
Refinement Properties in Agglomerative Hierarchical Clustering. 259-267 - Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto:
Some Pairwise Constrained Semi-Supervised Fuzzy c-Means Clustering Algorithms. 268-281 - Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi:
PCA-Guided k-Means with Variable Weighting and Its Application to Document Clustering. 282-292 - Javier Herranz
Partial Symbol Ordering Distance. 293-302
Computational Intelligence and Optimization
- Anders Dahlbom, Lars Niklasson, Göran Falkman
Situation Recognition and Hypothesis Management Using Petri Nets. 303-314 - Hideki Katagiri, Tomohiro Hayashida, Ichiro Nishizaki, Jun Ishimatsu:
A Hybrid Algorithm Based on Tabu Search and Ant Colony Optimization for k-Minimum Spanning Tree Problems. 315-326
Machine Learning
- Yubin Zhan, Jianping Yin, Jun Long:
Dynamic Neighborhood Selection for Nonlinear Dimensionality Reduction. 327-337 - Kilho Shin, Xian Ming Xu:
A Consistency-Constrained Feature Selection Algorithm with the Steepest Descent Method. 338-350 - Yasuo Kudo, Tetsuya Murai:
A Heuristic Algorithm for Attribute Reduction Based on Discernibility and Equivalence by Attributes. 351-359 - Keiji Tatsumi
Multiobjective Multiclass Soft-Margin Support Vector Machine and Its Solving Technique Based on Benson's Method. 360-371
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