Willkommen, schön sind Sie da!
Logo Ex Libris

Modeling Decisions for Artificial Intelligence

  • E-Book (pdf)
  • 373 Seiten
(0) Erste Bewertung abgeben
Alle Bewertungen ansehen
This book constitutes the proceedings of the 6th International Conference on Modeling Decisions for Artificial Intelligence, MDAI... Weiterlesen
E-Books ganz einfach mit der kostenlosen Ex Libris-Reader-App lesen. Hier erhalten Sie Ihren Download-Link.
CHF 100.90
Download steht sofort bereit
Informationen zu E-Books
E-Books eignen sich auch für mobile Geräte (sehen Sie dazu die Anleitungen).
E-Books von Ex Libris sind mit Adobe DRM kopiergeschützt: Erfahren Sie mehr.
Weitere Informationen finden Sie hier.
Bestellung & Lieferung in eine Filiale möglich


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.


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.


Titel: Modeling Decisions for Artificial Intelligence
Untertitel: 6th International Conference, MDAI 2009, Awaji Island, Japan, November 30-December 2, 2009, Proceedings
EAN: 9783642048203
Digitaler Kopierschutz: Wasserzeichen
Format: E-Book (pdf)
Hersteller: Springer Berlin Heidelberg
Genre: Grundlagen
Anzahl Seiten: 373
Veröffentlichung: 18.11.2009
Dateigrösse: 7.5 MB

Weitere Bände aus der Buchreihe "Lecture Notes in Computer Science"