Modeling Decisions for Artificial Intelligence [[electronic resource] ] : First International Conference, MDAI 2004, Barcelona, Spain, August 2-4, 2004, Proceedings / / edited by Vicenc Torra, Yasuo Narukawa

• Pubblicazione: Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2004
• Edizione: 1st ed. 2004.
• Descrizione fisica: 1 online resource (XI, 330 p.)
• Disciplina: 006.3/01/5118
• Soggetto topico: Artificial intelligence; Mathematical logic; Computers; Database management; Computer simulation; Operations research; Decision making; Artificial Intelligence; Mathematical Logic and Formal Languages; Computation by Abstract Devices; Database Management; Simulation and Modeling; Operations Research/Decision Theory
• Persona (resp. second.): TorraVicenc; NarukawaYasuo
• Note generali: Bibliographic Level Mode of Issuance: Monograph
• Nota di bibliografia: Includes bibliographical references at the end of each chapters and index.
• Nota di contenuto: Invited Talks -- to RoboCup Research in Japan -- Fuzzy Integrals -- Fuzzy Qualitative Models to Evaluate the Quality on the Web -- Multisets and Fuzzy Multisets as a Framework of Information Systems -- Regular Papers -- Stock Price Forecasting: Statistical, Classical and Fuzzy Neural Network Approach -- Wavelet Time Shift Properties Integration with Support Vector Machines -- A Study on Weighting Training Patterns for Fuzzy Rule-Based Classification Systems -- A Machine Learning Approach for Modeling Algorithm Performance Predictors -- A Novel Network Traffic Analysis Method Based on Fuzzy Association Rules -- Quantum Computing Based Machine Learning Method and Its Application in Radar Emitter Signal Recognition -- Modeling the Distributed Control of the Lower Urinary Tract Using a Multiagent System -- Mining Diagnostic Taxonomy Using Interval-Based Similarity from Clinical Databases -- Combining Multiple Classifiers Using Dempster’s Rule of Combination for Text Categorization -- An Empirical Analysis of Assessment Errors for Weights and Andness in LSP Criteria -- Reliability of LSP Criteria -- Unsupervised Aggregation by the Choquet Integral Based on Entropy Functionals: Application to the Evaluation of Students -- Preservation of Distinguished Fuzzy Measure Classes by Distortion -- Decision Modelling Using the Choquet Integral -- Measurements of Consensus in Multi-granular Linguistic Group Decision-Making -- On Detecting Interactions in Hayashi’s Second Method of Quantification -- A Generalization of Symbolic Data Analysis Allowing the Processing of Fuzzy Granules -- A Learning Procedure to Estimate Missing Values in Fuzzy Preference Relations Based on Additive Consistency -- Decision Making in a Dynamic System Based on Aggregated Fuzzy Preferences -- Object Positioning Based on Partial Preferences -- A Comparative Study of Clustering Methods for Long Time-Series Medical Databases -- Fuzzy Multiset Model and Methods of Nonlinear Document Clustering for Information Retrieval -- A Feature Weighting Approach to Building Classification Models by Interactive Clustering -- A Framework for Representation and Manipulation of Vague Knowledge -- Comparing Transitive Closure with a New T-transitivization Method -- On the Interpretation of Some Fuzzy Integrals.
• Titolo autorizzato: Modeling Decisions for Artificial Intelligence
• ISBN: 3-540-27774-9; 3-540-22555-2
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910144170203321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Artificial Intelligence ; ; 3131