The concept of fuzzy sets is one of the most fundamental and influential tools in computational intelligence. Fuzzy sets can provide solutions to a broad range of problems of control, pattern classification, reasoning, planning, and computer vision. This book bridges the gap that has developed between theory and practice. The authors explain what fuzzy sets are, why they work, when they should be used (and when they shouldn't), and how to design systems using them.
The authors take an unusual top-down approach to the design of detailed algorithms. They begin with illustrative examples, explain the fundamental theory and design methodologies, and then present more advanced case studies dealing with practical tasks. While they use mathematics to introduce concepts, they ground them in examples of real-world problems that can be solved through fuzzy set technology. The only mathematics prerequisites are a basic knowledge of introductory calculus and linear algebra.
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Witold Pedrycz is Professor and Chair of Electrical and Computer Engineering at the University of Alberta.
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Destinos, gastos y plazos de envíoLibrería: Better World Books, Mishawaka, IN, Estados Unidos de America
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Hardcover. Condición: Very Good. Estado de la sobrecubierta: Very Good. 8 vo, Blue Boards, Silver text to spine, binding is square, solid, text unmarked. Dust jacket has ripples top and bottom, Bradford Books, 1998, Massachusetts, 465 pg. Nº de ref. del artículo: 302114228
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Condición: as new. Cambridge, MA : MIT Press, 1998 Hardcover. Dustjacket. . 465 pp. English text. Condition : as new."A Bradford book." - The concept of fuzzy sets is one of the most fundamental and influential tools in computational intelligence. Fuzzy sets can provide solutions to a broad range of problems of control, pattern classification, reasoning, planning, and computer vision. This book bridges the gap that has developed between theory and practice. The authors explain what fuzzy sets are, why they work, when they should be used (and when they shouldn't), and how to design systems using them. The authors take an unusual top-down approach to the design of detailed algorithms. They begin with illustrative examples, explain the fundamental theory and design methodologies, and then present more advanced case studies dealing with practical tasks. While they use mathematics to introduce concepts, they ground them in examples of real-world problems that can be solved through fuzzy set technology. The only mathematics prerequisites are a basic knowledge of introductory calculus and linear algebra. Condition : as new copy. ISBN 9780262161718. Keywords : , Nº de ref. del artículo: 274387
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