Fuzzy Systems Engineering

A self-contained treatment of fuzzy systems engineering, offering conceptual fundamentals, design methodologies, development guidelines, and carefully selected illustrative material Forty years have passed since the birth of fuzzy sets, in which time 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 fuzzy systems engineering, covering concepts, design methodologies, and algorithms coupled with interpretation, analysis, and underlying engineering knowledge. The result is a holistic view of fuzzy sets as a fundamental component of computational intelligence and human-centric systems. Throughout the book, the authors emphasize the direct applicability and limitations of the concepts being discussed, and historical and bibliographical notes are included in each chapter to help readers view the developments of fuzzy sets from a broader perspective. A radical departure from current books on the subject, Fuzzy Systems Engineering presents fuzzy sets as an enabling technology whose impact, contributions, and methodology stretch far beyond any specific discipline, making it applicable to researchers and practitioners in engineering, computer science, business, medicine, bioinformatics, and computational biology. Additionally, three appendices and classroom-ready electronic resources make it an ideal textbook for advanced undergraduate- and graduate-level courses in engineering and science.

A self-contained treatment of fuzzy systems engineering, offeringconceptual fundamentals, design methodologies, developmentguidelines, and carefully selected illustrative materialForty years have passed since the birth of fuzzy sets, in whichtime a wealth of theoretical developments, conceptual pursuitsalgorithmic environments, and other applications have emerged. Nowthis 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, medicinebioinformatics, and computational biology. Additionally, threeappendices and classroom-ready electronic resources make it anideal textbook for advanced undergraduate- and graduate-levelcourses in engineering and science.