Contemporary Fuzzy Logic - Tomasiello, Stefania
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Présentation Contemporary Fuzzy Logic de Tomasiello, Stefania Format Relié
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Résumé :
Introduction to fuzzy sets.- Fuzzy numbers.- Fuzzy relations.- Fuzzy logic.- Fuzzy inference systems.- Combining arti?cial neural networks and fuzzy sets.- Fuzzy transform.- Introduction to granular computing....
Biographie: Sommaire:
Stefania Tomasiello, Ph.D. in computer science (University of Salerno, Italy) is currently a lecturer of Artificial Intelligence with the Institute of Computer Science, University of Tartu, Estonia. Formerly, permanent researcher with CO.RI.SA. (Research Consortium on Agent Systems), University of Salerno, Italy and Senior Research Fellow with the Department of Management and Innovation Systems (DISA-MIS), University of Salerno. She holds the Italian Scientific Qualification to function as associate professor in computer science and numerical analysis. Principal investigator and work-package leader in several funded projects. Expert evaluator of applied research projects both for the Italian Ministry of Economic Development and some European bodies. TPC member in many international conferences, here included ACM and IEEE sponsored events. Her research interests lie in scientific and soft computing, AI, fuzzy mathematics, nonlinear dynamics. She authored and co-authored numerous papers in the above-mentioned areas. Associate editor of several SCI-indexed journals, including IEEE Transactions on Neural Networks and Learning Systems. ACM, ECMI, EUSFLAT, IEEE, INNS member.
This book offers an essential introduction to fuzzy logic, starting with the classical notions and going through more advanced notions from the current state-of-the-art research. Each of the major topics is accompanied by examples, problems and Scilab codes. As a free open source software, Scilab offers everyone the chance to practice the concepts learned through the book. The book represents a synthesis of authors' research and experience through the lectures delivered to university students. It is primarily intended as a textbook for upper-level undergraduates and graduates in computer science, mathematics, physics and engineering. It also represents a valuable resource for practitioners and researchers alike, bringing ideas for projects in the broad field of fuzzy logic.