Pedrycz / Gomide Fuzzy Systems Engineering

Toward Human-Centric Computing
1. Auflage 2008
ISBN: 978-0-470-16895-0
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, Band 1, 544 Seiten, E-Book

Reihe: Wiley - IEEE

A self-contained treatment of fuzzy systems engineering, offeringconceptual fundamentals, design methodologies, developmentguidelines, and carefully selected illustrative material
Forty years have passed since the birth of fuzzy sets, in whichtime a wealth of theoretical developments, conceptual pursuits,algorithmic environments, and other applications have emerged. Now,this reader-friendly book presents an up-to-date approach to fuzzysystems engineering, covering concepts, design methodologies, andalgorithms coupled with interpretation, analysis, and underlyingengineering knowledge. The result is a holistic view of fuzzy setsas a fundamental component of computational intelligence andhuman-centric systems.
Throughout the book, the authors emphasize the direct applicabilityand limitations of the concepts being discussed, and historical andbibliographical notes are included in each chapter to help readersview the developments of fuzzy sets from a broader perspective. Aradical departure from current books on the subject, Fuzzy SystemsEngineering presents fuzzy sets as an enabling technology whoseimpact, contributions, and methodology stretch far beyond anyspecific discipline, making it applicable to researchers andpractitioners in engineering, computer science, business, medicine,bioinformatics, and computational biology. Additionally, threeappendices and classroom-ready electronic resources make it anideal textbook for advanced undergraduate- and graduate-levelcourses in engineering and science.

Autoren/Hrsg.

Pedrycz, Witold

Gomide, Fernando

Über Autor(innen)

Witold Pedrycz, PhD, is Professor and Canada Research Chairin Computational Intelligence at the University of Alberta, Canada.His research interests include granular computing, including fuzzyset technology, neural networks and evolutionary computing, patternrecognition, data mining, and emerging behavior and adaptivesystems. He has authored or edited eight books, over 200 papers injournals or volumes, and over forty conference papers. He is aFellow of the IEEE and IFSA.
Fernando Gomide, PhD, teaches in the Department ofComputer Engineering and Industrial Automation at the StateUniversity of Campinas (UNICAMP) in São Paulo, Brazil. Hisareas of interest include fuzzy sets and logic, artificialintelligence, and genetic algorithms.