Fuzzy logic refers to a computer's ability to make decisions involving "grey" or "fuzzy" areas. As linguistics contains numerous "grey" areas, computing with words through the use of fuzzy logic is an extremely hot topic in database and Internet research. This book explores the state of the art in linguistic computation, discussing how current research findings are extending the application of fuzzy logic beyond control engineering and intelligent systems into the use of language on a computer. Fuzzy logic pioneer, Dr. Lofti Zadeh, provides the introduction for this thought-provoking work.
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An in-depth description of the current state of the art in linguistic computation
Computing with words is a fascinating new way of looking at problems related to knowledge representation, symbolic reasoning, natural language, and intelligent control and systems using the concepts of fuzzy sets and fuzzy logic. Offering important insights into designing a system that can cope with the complexities of the natural world, Computing with Words is the first book to present research with a fuzzy logic description.
Researchers have dubbed the twenty-first century the "century of semantics," and this timely volume is a response to the need and demand for a book on the evolving topic of computing with words. The chapters are written by leading researchers within the fuzzy research community and provide a complete overview of theory, current technology, and potential applications. A larger view of semiotics and intelligence systems as they relate to computing with words is also presented.
Drawing from the foundations of Lotfi Zadeh's theory of fuzzy sets and fuzzy logic, Computing with Words offers extensive coverage of fuzzy expert systems, while also including substantial materials on related issues in order to increase the fundamental and archival values of Zadeh's theory. Researchers in fuzzy logic, information science, and linguistic computation will find Computing with Words an essential source of information.
PAUL P. WANG, PhD, received his doctorate from The Ohio State University and is Professor of Electrical and Computer Engineering at the Pratt School of Engineering, Duke University in Durham, North Carolina. He has published extensively in the fields of mathematical systems modeling, fuzzy logic, pattern recognition, intelligent systems, and the applications of computational intelligence methodologies to the medical and management expert systems design. His work with Masaki Togai during the 1980s led to the fabrication of the first fuzzy logic chips. Dr. Wang has been a member of the board of directors of several corporations, including Intelligent Machine, Inc. He is also the founder and CEO of the Association for Intelligent Machinery.
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