LEADER 05923nam 22008175 450 001 9910483082703321 005 20250624084741.0 010 $a3-642-04820-X 024 7 $a10.1007/978-3-642-04820-3 035 $a(CKB)1000000000804440 035 $a(SSID)ssj0000355563 035 $a(PQKBManifestationID)11286607 035 $a(PQKBTitleCode)TC0000355563 035 $a(PQKBWorkID)10340370 035 $a(PQKB)11690212 035 $a(DE-He213)978-3-642-04820-3 035 $a(MiAaPQ)EBC3064787 035 $a(PPN)139962247 035 $a(EXLCZ)991000000000804440 100 $a20100301d2009 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aModeling Decisions for Artificial Intelligence $e6th International Conference, MDAI 2009, Awaji Island, Japan, November 30-December 2, 2009, Proceedings /$fedited by Yasuo Narukawa, Masahiro Inuiguchi 205 $a1st ed. 2009. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2009. 215 $a1 online resource (XI, 373 p.) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v5861 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a3-642-04819-6 320 $aIncludes bibliographical references and index. 327 $aInvited Papers -- Interactive Robust Multiobjective Optimization Driven by Decision Rule Preference Model -- g-BDI: A Graded Intensional Agent Model for Practical Reasoning -- Modeling Ambiguity Averse Behavior of Individual Decision Making: Prospect Theory under Uncertainty -- Generalized Bags, Bag Relations, and Applications to Data Analysis and Decision Making -- The Relationship between Interval, Fuzzy and Possibilistic Optimization -- Regular Papers -- Decision Making in Voting Games: An Insight into Theory and Practice -- A Lyapunov-Type Theorem for Nonadditive Vector Measures -- A Formal Theory of Cooperative TU-Games -- The Functionality-Security-Privacy Game -- Toward the Theory of Cooperative Games under Incomplete Information -- Comparison of Data Structures for Computing Formal Concepts -- Using Conditional Random Fields for Decision-Theoretic Planning -- Interactive Decision Making for Hierarchical Multiobjective Linear Programming Problems -- A Perception-Based Portfolio Under Uncertainty: Minimization of Average Rates of Falling -- A Differential Evolution Based Time-Frequency Atom Decomposition for Analyzing Emitter signals -- Combining Various Methods of Automated User Decision and Preferences Modelling -- Target-Oriented Decision Analysis with Different Target Preferences -- A Novel Method for Multibiometric Fusion Based on FAR and FRR -- Performance Evaluation of TEWA Systems for Improved Decision Support -- Discounting and Combination Scheme in Evidence Theory for Dealing with Conflict in Information Fusion -- Evaluation Based on Pessimistic Efficiency in Interval DEA -- Stochastic Facility Construction Problem with Preference of Candidate Sites -- A Consensus Reaching Model for Web 2.0 Communities -- Refinement Properties in Agglomerative Hierarchical Clustering -- Some Pairwise Constrained Semi-Supervised Fuzzy c-Means Clustering Algorithms -- PCA-Guided k-Means with Variable Weighting and Its Application to Document Clustering -- Partial Symbol Ordering Distance -- Situation Recognition and Hypothesis Management Using Petri Nets -- A Hybrid Algorithm Based on Tabu Search and Ant Colony Optimization for k-Minimum Spanning Tree Problems -- Dynamic Neighborhood Selection for Nonlinear Dimensionality Reduction -- A Consistency-Constrained Feature Selection Algorithm with the Steepest Descent Method -- A Heuristic Algorithm for Attribute Reduction Based on Discernibility and Equivalence by Attributes -- Multiobjective Multiclass Soft-Margin Support Vector Machine and Its Solving Technique Based on Benson?s Method. 330 $aThis book constitutes the proceedings of the 6th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2009, held on Awaji Island, Japan, in November/December 2009. The 28 papers presented in this book together with 5 invited talks were carefully reviewed and selected from 61 submissions. The topics covered are aggregation operators, fuzzy measures and game theory; decision making; clustering and similarity; computational intelligence and optimization; and machine learning. 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v5861 606 $aDiscrete mathematics 606 $aComputer simulation 606 $aArtificial intelligence 606 $aComputer science$xMathematics 606 $aMachine theory 606 $aComputer science 606 $aDiscrete Mathematics 606 $aComputer Modelling 606 $aArtificial Intelligence 606 $aDiscrete Mathematics in Computer Science 606 $aFormal Languages and Automata Theory 606 $aComputer Science Logic and Foundations of Programming 615 0$aDiscrete mathematics. 615 0$aComputer simulation. 615 0$aArtificial intelligence. 615 0$aComputer science$xMathematics. 615 0$aMachine theory. 615 0$aComputer science. 615 14$aDiscrete Mathematics. 615 24$aComputer Modelling. 615 24$aArtificial Intelligence. 615 24$aDiscrete Mathematics in Computer Science. 615 24$aFormal Languages and Automata Theory. 615 24$aComputer Science Logic and Foundations of Programming. 676 $a004n/a 701 $aInuiguchi$b Masahiro$01434767 701 $aNarukawa$b Yasuo$01255058 701 $aTorra$b Vicenc$0848974 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483082703321 996 $aModeling decisions for artificial intelligence$94201638 997 $aUNINA