Overview
- Editors:
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Paul P. Wang
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Department of Electrical & Computer Engineering, Pratt School of Engineering Duke University, 27708 Durham, USA
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Da Ruan
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The Belgian Nuclear Research Centre (SCK ·CEN), Boeretang 200, Belgium
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Etienne E. Kerre
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Department of Applied Mathematics & Computer Science, Ghent University, Krijgslaan 281 (S9), Belgium
- Coincides with new material coming in the 40th anniversary of fuzzy theory and technology
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Table of contents (19 chapters)
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- Paul P. Wang, Da Ruan, Etienne E. Kerre
Pages 1-13
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- Ana Pradera, Enric Trillas, Sergio Guadarrama, Eloy Renedo
Pages 15-47
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- János Fodor, Bernard De Baets
Pages 49-64
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- Ibrahim Ozkan, I.B. Turksen
Pages 99-112
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- Mustapha Baziz, Mohand Boughanem, Yannick Loiseau, Henri Prade
Pages 193-218
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- Bernadette Bouchon-Meunier, Marcin Detyniecki, Marie-Jeanne Lesot, Christophe Marsala, Maria Rifqi
Pages 219-247
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- Yingjun Cao, Paul P. Wang, Alade Tokuta
Pages 247-281
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- Jorge S. Benítez-Read, J. Humberto Pérez-Cruz, Da Ruan
Pages 299-315
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- Enrico Zio, Piero Baraldi
Pages 317-336
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- Javier Montero, Victoria López, Daniel Gómez
Pages 337-349
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- Guangquan Zhang, Jie Lu, Tharam Dillon
Pages 351-379
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- Jeffrey D. Warren, Robert V. Demicco, Louis R. Bartek
Pages 381-430
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- André Maïsseu, Benoît Maïsseu
Pages 431-455
About this book
In order to properly characterize the content of this book, it is important to clarify ?rst the intended meaning of its title Fuzzy Logic. This clari?cation is needed since the term “fuzzy logic,” as currently used in the literature, is viewed either in a narrow sense or in a broad sense. In the narrow sense, fuzzy logic is viewed as an area devoted to the formal development, in a u- ?ed way, of the various logical systems of many-valued logic. It is concerned withformalizingsyntactic aspects(basedonthenotionofproof)andsemantic aspects (based on the notion oftruth) of the variouslogical calculi. In order to be acceptable, each of these logical calculi must be sound (provability implies truth) and complete (truth implies provability). The most representativep- lication of fuzzy logic in this sense is, in my opinion, the classic book by Peter Hajek [1]. When the term “fuzzy logic” is viewed in the broad sense, it refers to an extensive agenda whose primary aim is to utilize the apparatus of fuzzy set theoryfordevelopingsoundconcepts,principles,andmethodsforrepresenting and dealing with knowledge expressed by statements in natural language. Although workin fuzzy logicin the broadsense is not directly concernedwith the issues that are investigated under fuzzy logic in the narrow sense, the importance of the latter is that it provides the former with solid theoretical foundations. After examining the content of this book, it is easy to conclude that its title,FuzzyLogic, referstofuzzylogicinthebroadsense. Thisisconsistent,by and large, with the usual meaning of the term “fuzzy logic” in the literature.
Reviews
From the reviews:
"This book has four objectives: to give newcomers a clear idea … to give people familiar with fuzzy logic an indication of where fuzzy logic can most effectively proceed, to give funding agencies a picture of where their investment would produce maximum returns, and to give scientific and mathematical philosophers a picture of the state-of-the-art in fuzzy logic research. … This comprehensive, up-to-date book certainly deserves a place in the libraries of all institutions … . Summing Up: Recommended. Upper-division undergraduates through professionals." (R. Bharath, CHOICE, Vol. 45 (7), 2008)
Editors and Affiliations
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Department of Electrical & Computer Engineering, Pratt School of Engineering Duke University, 27708 Durham, USA
Paul P. Wang
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The Belgian Nuclear Research Centre (SCK ·CEN), Boeretang 200, Belgium
Da Ruan
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Department of Applied Mathematics & Computer Science, Ghent University, Krijgslaan 281 (S9), Belgium
Etienne E. Kerre
