The third in a series of reference works dealing with computational intelligence methodologies that is, computational approaches stressing approximation of essential aspects of system behavior and emulation of various cognitive and biological mechanisms. Topics include background information and motivational considerations; basic concepts; various fuzzy modeling approaches; hybrid approaches; software and hardware tools; and various applications such as control, robotics, system optimization, telecommunications, information retrieval, and medical diagnostics. Annotation c. by Book News, Inc., Portland, Or.
This book, a joint publication of the Institute of Physics Publishing and Oxford University Press, is the third in a series of three works that form part of the Oxford/IOP Computational Intelligence Library project. The other two works are the Handbook of Neural Computation and the Handbook of Evolutionary Computation. Each of the three handbooks is available in loose-leaf print form, as well as in an electronic version that combines both CD-ROM and on-line (World Wide Web) access to the contents. In each case, regularly published supplements will be available on a subscription basis.
Initially conceived as a methodology for the representation and manipulation of imprecise and vague information, fuzzy computation has found wide use in problems that fall well beyond its originally intended scope of application. Many scientists and engineers now use the paradigms of fuzzy computation to tackle problems that are either intractable or unrealistically time consuming. The extraordinary growth of fuzzy computation in recent years has led to the development of numerous systems of major practical importance in fields ranging from medical diagnosis and automated learning to image understanding and systems control.
The Handbook of Fuzzy Computation provides information about fundamental aspects of the field and explores the myriad applications of fuzzy logic techniques and methods. Divided into several parts, the handbook presents basic conceptual considerations and case studies of applications of fuzzy computation. It covers the fundamental concepts and techniques for system modeling, information processing, intelligent system design, decision analysis, statistical analysis, pattern recognition, automated learning, and system control and identification. The book also discusses the combination of fuzzy computation techniques with other computational intelligence approaches such as neural and evolutionary computation.
By focusing on the application of fuzzy computation methods to solve problems, this all-encompassing reference work enables scientists and engineers to understand the central aspects of this important computational methodology.
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