Soft computing: state of the art theory and novel applications
著者
書誌事項
Soft computing: state of the art theory and novel applications
（Studies in fuzziness and soft computing, 291）
Springer, c2013
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
This book is a tribute to Lotfi A. Zadeh, the father of fuzzy logic, on the occasion of his 90th Birthday. The book gathers original scientific contributions written by top scientists and presenting the latest theories, applications and new trends in the fascinating and challenging field of soft computing.
目次
From the Contents: Future Novel Directions.- Information Boom: New Trends and Expectations.- Using Alternative Contexts in Concept Hierarchies to Inspire Creativity.- Fuzzy Sets and Relations.- The Essence of Fuzzy Set Qualitative Comparative Analysis (fsQCA).- The Kendall Rank Correlation between Intuitionistic Fuzzy Sets: An Extended Analysis.- Bideterminant and Generalized Kronecker-Capelli Theorem for Fuzzy Relation Equations.- The Z-Number Enigma: A Study Through An Experiment.- Rules Construction and Analysis.- On Rule Learning Methods: A Comparative Analysis of Classic and Fuzzy Approaches.- Evolutionary Fuzzy Rules for Ordinal Binary Classification with Monotonicity Constraints.- Social network analysis of co-fired fuzzy rules.- Learning and Databases.- Learning Techniques in Presence of Uncertainty.- Computing with Words Using Weighted Power Mean Aggregation Operators.- Querying Possibilistic Databases: Three Interpretations.- Fuzzy Logic.- The Theory and Applications of Generalized Complex Fuzzy Propositional Logic.- Coherent Conditional Probability, Fuzzy Inclusion and Default Rules.- Fuzzy Answer Set Programming: An Introduction.- Data Analysis and Applications.- Applied Research in the Field of Automation of Learning and Knowledge Control.- Bio-Inspired Optimization of Interval Type-2 Fuzzy Controllers.- System Modeling and Forecasting with Evolving Fuzzy Algorithms.- Log-Domain Arithmetic for High-Speed Fuzzy Control on a Field-Programmable Gate Array.- Fuzzy Clustering with Prototype Extraction for Census Data Analysis.
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