Olaf Wolkenhauer – Data Engineering, Fuzzy Mathematics In Systems Theory And Data Analysis
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“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
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
Random-set modeling and identification
Fuzzy inference engines
Fuzzy classification, control, and mathematics
In the important emerging field of bioinformatics, the book sets out how to encode a natural system in mathematical models, describes methods to identify interrelationships and interactions from data, and thereby helps the practitioner to decide which variables to measure and why.
Data Engineering serves as an up-to-date and informative survey of the theoretical and practical tools for analyzing complex systems. It offers a unique treatment of complex issues that is accessible to students and researchers from a variety of backgrounds.
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