LEADER 06327nam 22007695 450 001 996466316403316 005 20200704072522.0 010 $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$b[electronic resource] $e6th International Conference, MDAI 2009, Awaji Island, Japan, November 30-December 2, 2009, Proceedings /$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 $aLecture Notes in Artificial Intelligence ;$v5861 300 $aBibliographic Level Mode of Issuance: Monograph 311 $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 ;$v5861 606 $aDiscrete mathematics 606 $aComputer simulation 606 $aArtificial intelligence 606 $aComputer science?Mathematics 606 $aMathematical logic 606 $aComputer logic 606 $aDiscrete Mathematics$3https://scigraph.springernature.com/ontologies/product-market-codes/M29000 606 $aSimulation and Modeling$3https://scigraph.springernature.com/ontologies/product-market-codes/I19000 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aDiscrete Mathematics in Computer Science$3https://scigraph.springernature.com/ontologies/product-market-codes/I17028 606 $aMathematical Logic and Formal Languages$3https://scigraph.springernature.com/ontologies/product-market-codes/I16048 606 $aLogics and Meanings of Programs$3https://scigraph.springernature.com/ontologies/product-market-codes/I1603X 615 0$aDiscrete mathematics. 615 0$aComputer simulation. 615 0$aArtificial intelligence. 615 0$aComputer science?Mathematics. 615 0$aMathematical logic. 615 0$aComputer logic. 615 14$aDiscrete Mathematics. 615 24$aSimulation and Modeling. 615 24$aArtificial Intelligence. 615 24$aDiscrete Mathematics in Computer Science. 615 24$aMathematical Logic and Formal Languages. 615 24$aLogics and Meanings of Programs. 676 $a004n/a 702 $aNarukawa$b Yasuo$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aInuiguchi$b Masahiro$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a996466316403316 996 $aModeling Decisions for Artificial Intelligence$9772296 997 $aUNISA