Fuzzy Sets and Their Extensions : Representation, Aggregation and Models : Intelligent Systems from Decision Making to Data Mining, Web Intelligence and Computer Vision
著者
書誌事項
Fuzzy Sets and Their Extensions : Representation, Aggregation and Models : Intelligent Systems from Decision Making to Data Mining, Web Intelligence and Computer Vision
（Studies in fuzziness and soft computing, 220）
Springer Verlag, c2008
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内容説明・目次
内容説明
This carefully edited book presents an up-to-date state of current research in the use of fuzzy sets and their extensions. It pays particular attention to foundation issues and to their application to four important areas where fuzzy sets are seen to be an important tool for modeling and solving problems. The book's 34 chapters deal with the subject with clarity and effectiveness. They include four review papers introducing some non-standard representations
目次
Foundations: Representation and Aggregation.- Type-2 Fuzzy Logic and the Modelling of Uncertainty.- My Personal View on Intuitionistic Fuzzy Sets Theory.- Hybridization of Fuzzy and Rough Sets: Present and Future.- An Overview of Computing with Words using Label Semantics.- On the Construction of Models Based on Fuzzy Measures and Integrals.- Interpolatory Type Construction of General Aggregation Operators.- A Review of Aggregation Functions.- Identification of Weights in Aggregation Operators.- Linguistic Aggregation Operators: An Overview.- Aggregation Operators in Interval-valued Fuzzy and Atanassov's Intuitionistic Fuzzy Set Theory.- From Decision Making to Data Mining, Web Intelligence and Computer Vision.- Fuzzy Preference Modelling: Fundamentals and Recent Advances.- Preferences and Consistency Issues in Group Decision Making.- Fuzzy Set Extensions of the Dominance-Based Rough Set Approach.- On Group Decision Making, Consensus Reaching, Voting and Voting Paradoxes under Fuzzy Preferences and a Fuzzy Majority: A Survey and some Perspectives.- Extension of Some Voting Systems to the Field of Gradual Preferences.- A Linguistic Decision Based Model Applied to Olive Oil Sensory Evaluation.- Atanassov's Intuitionistic Fuzzy Sets as a Promising Tool for Extended Fuzzy Decision Making Models.- Fuzzy Methods for Data Mining and Machine Learning: State of the Art and Prospects.- Pattern Classification with Linguistic Rules.- An Overview of Mining Fuzzy Association Rules.- Subgroup Discovery with Linguistic Rules.- Fuzzy Prototypes: From a Cognitive View to a Machine Learning Principle.- Improving Fuzzy Classification by Means of a Segmentation Algorithm.- FIS2JADE: A New Vista for Fuzzy-oriented Agents.- An Overview on the Approximation Quality Based on Rough-Fuzzy Hybrids.- Fuzzy Sets in Information Retrieval: State of the Art and Research Trends.- Fuzzy Sets and Web Meta-search Engines.- Fuzzy Set Techniques in E-Service Applications.- A Fuzzy Linguistic Recommender System to Advice Research Resources in University Digital Libraries.- Fuzzy Measures in Image Processing.- Type II Fuzzy Image Segmentation.- Image Threshold Computation by Modelizing Knowledge/Unknowledge by Means of Atanassov's Intuitionistic Fuzzy Sets.- Colour Image Comparison Using Vector Operators.- A Fuzzy-based Automated Cells Detection System for Color Pap Smear Tests --FACSDS-.
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