Olaf Wolkenhauer – Data Engineering, Fuzzy Mathematics In Systems Theory And Data Analysis

Olaf Wolkenhauer – Data Engineering, Fuzzy Mathematics In Systems Theory And Data Analysis

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Review

“To cope with real world uncertainties and provide a philosophical and practical guide…several methodologies are presented…” (SciTech Book News, Vol. 25, No. 4, December 2001)

“…certainly a book that should be in the library of any institution where research and advanced study in fuzzy systems are carried out.” (Choice, Vol. 39, No. 7, March 2002)

“…well organized, easy to read, and self-contained…. I would recommend it to anyone interested in self-study of the basic ideas of fuzzy systems…” (International Journal of General Systems, Vol. 31, No. 6, 2002)

From the Back Cover

A survey of the philosophical implications and practical applications of fuzzy systems

Fuzzy mathematical concepts such as fuzzy sets, fuzzy logic, and similarity relations represent one of the most exciting currents in modern engineering and have great potential in applications ranging from control theory to bioinformatics. Data Engineering guides the reader through a number of concepts interconnected by fuzzy mathematics and discusses these concepts from a systems engineering perspective to showcase the continuing vitality, attractiveness, and applicability of fuzzy mathematics.

The author discusses the fundamental aspects of data analysis, systems modeling, and uncertainty calculi. He avoids a narrow discussion of specialized methodologies and takes a holistic view of the nature and application of fuzzy systems, considering principles, paradigms, and methodologies along the way. This broad coverage includes:

Fundamentals of modeling, identification, and clustering

System analysis

Uncertainty techniques

Random-set modeling and identification

Fuzzy inference engines

Fuzzy classification, control, and mathematics

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