Modeling Decisions for Artificial Intelligence
6th International Conference, MDAI 2009, Awaji Island, Japan, November 30-December 2, 2009, Proceedings
(Sprache: Englisch)
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...
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Produktinformationen zu „Modeling Decisions for Artificial Intelligence “
Klappentext zu „Modeling Decisions for Artificial Intelligence “
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.
Inhaltsverzeichnis zu „Modeling Decisions for Artificial Intelligence “
- 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
... mehr
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
- 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
... weniger
Bibliographische Angaben
- 2009, 2009, XI, 373 Seiten, mit Abbildungen, Masse: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: Yasuo Narukawa, Masahiro Inuiguchi
- Verlag: Springer, Berlin
- ISBN-10: 3642048196
- ISBN-13: 9783642048197
- Erscheinungsdatum: 03.11.2009
Sprache:
Englisch
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