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 LEADER 02383nam 2200493 450 001 9910810934803321 005 20230803040939.0 010 $a1-118-85796-8 010 $a1-118-85797-6 010 $a1-118-85799-2 035 $a(CKB)4330000000007311 035 $a(MiAaPQ)EBC5162093 035 $a(Au-PeEL)EBL5162093 035 $a(CaPaEBR)ebr11474065 035 $a(OCoLC)1013824248 035 $a(EXLCZ)994330000000007311 100 $a20171222h20182018 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 00$aAdvanced nutrition and dietetics in obesity /$fedited by Catherine Hankey 210 1$aHoboken, New Jersey :$cWiley Blackwell,$d2018. 210 4$dİ2018 215 $a1 online resource (364 pages) 225 1 $aAdvanced Nutrition and Dietetics (BDA) 225 1 $aTHEi Wiley ebooks 311 $a0-470-67076-2 320 $aIncludes bibliographical references and index. 330 $a"This addition to the British Dietetic Association Advanced Nutrition and Dietetics book series is written for clinicians and researchers who work with any aspect of obesity and its comorbid conditions. Featuring contributions from leading researchers and practitioners from around the globe Advanced Nutrition and Dietetics in Obesity offers a uniquely international perspective on what has become a worldwide public health crisis. Chapters cover a full range of new ideas and research on the underlying drivers of obesity in populations including discussions on the genetic and clinical aspects of obesity, along with expert recommendations on how to effectively manage and prevent this chronic and persistent disease. Providing a comprehensive overview of the key literature in this field, Advanced Nutrition and Dietetics in Obesity is an invaluable resource for all those all those whose work should or does embrace any aspect of obesity"--Provided by publisher. 410 0$aAdvanced nutrition and dietetics (BDA). 410 0$aTHEi Wiley ebooks. 606 $aObesity 615 0$aObesity. 676 $a362.1963/98 702 $aHankey$b Catherine 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910810934803321 996 $aAdvanced nutrition and dietetics in obesity$94012358 997 $aUNINA