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.

Produktinformation

Utgivningsdatum2009-11-03
Mått155 x 235 x 21 mm
Vikt587 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor373
Upplaga2009
FörlagSpringer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN9783642048197

Tillhör följande kategorier

Systemvetenskap och AI inom Data och IT
Artificiell intelligens inom Data och IT
Diskret matematik inom Naturvetenskap och teknik

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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Del i serien Lecture Notes in Computer Science

Modeling Decisions for Artificial Intelligence

6th International Conference, MDAI 2009, Awaji Island, Japan, November 30-December 2, 2009, Proceedings

Häftad, Engelska, 2009

AvYasuo Narukawa,Masahiro Inuiguchi

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Produktinformation

Utgivningsdatum2009-11-03
Mått155 x 235 x 21 mm
Vikt587 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor373
Upplaga2009
FörlagSpringer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN9783642048197

Tillhör följande kategorier

Systemvetenskap och AI inom Data och IT
Artificiell intelligens inom Data och IT
Diskret matematik inom Naturvetenskap och teknik

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.