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|a Modeling Decisions for Artificial Intelligence
|h [electronic resource] :
|b 6th International Conference, MDAI 2009, Awaji Island, Japan, November 30-December 2, 2009, Proceedings /
|c edited by Yasuo Narukawa, Masahiro Inuiguchi.
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|a 1st ed. 2009.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2009.
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|a XI, 373 p.
|b online resource.
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|a Lecture Notes in Artificial Intelligence,
|x 2945-9141 ;
|v 5861
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|a Invited 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.
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|a This 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.
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|a Discrete mathematics.
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|a Computer simulation.
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|a Artificial intelligence.
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|a Computer science
|x Mathematics.
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|a Machine theory.
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|a Computer science.
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|a Discrete Mathematics.
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|a Computer Modelling.
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|a Artificial Intelligence.
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|a Discrete Mathematics in Computer Science.
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|a Formal Languages and Automata Theory.
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|a Computer Science Logic and Foundations of Programming.
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|a Narukawa, Yasuo.
|e editor.
|4 edt
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|a Inuiguchi, Masahiro.
|e editor.
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|4 http://id.loc.gov/vocabulary/relators/edt
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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|i Printed edition:
|z 9783642048210
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|i Printed edition:
|z 9783642048197
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|a Lecture Notes in Artificial Intelligence,
|x 2945-9141 ;
|v 5861
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|u https://doi.uam.elogim.com/10.1007/978-3-642-04820-3
|z Texto Completo
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|a Computer Science (SpringerNature-11645)
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