Practical Applications of Fuzzy Technologies

Front Cover
Hans-Jürgen Zimmermann
Springer Science & Business Media, Dec 6, 2012 - Mathematics - 667 pages
Since the late 1980s, a large number of very user-friendly tools for fuzzy control, fuzzy expert systems, and fuzzy data analysis have emerged. This has changed the character of this area and started the area of `fuzzy technology'. The next large step in the development occurred in 1992 when almost independently in Europe, Japan and the USA, the three areas of fuzzy technology, artificial neural nets and genetic algorithms joined forces under the title of `computational intelligence' or `soft computing'. The synergies which were possible between these three areas have been exploited very successfully.
Practical Applications of Fuzzy Sets focuses on model and real applications of fuzzy sets, and is structured into four major parts: engineering and natural sciences; medicine; management; and behavioral, cognitive and social sciences. This book will be useful for practitioners of fuzzy technology, scientists and students who are looking for applications of their models and methods, for topics of their theses, and even for venture capitalists who look for attractive possibilities for investments.
 

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Contents

ENGINEERING AND NATURAL SCIENCES
3
2
57
3
114
5
185
Civil Engineering Including Earthquake Engineering
207
Ecological Modeling and Data Analysis 247
246
8
265
Chemistry and Chemical Engineering
301
Strategic Planning 419
418
14
443
Production Planning and Scheduling Fuzzy and Crisp Approaches
479
References
518
Fuzzy Sets Methodologies in Actuarial Science
531
BEHAVIORAL COGNITIVE AND SOCIAL SCIENCES
557
References
577
Fuzzy Sets in Human Factors and Ergonomics
589

MEDICINE
317
Approximate Reasoning in ComputerAided Medical Decision Systems 337
336
Image Processing in Medicine
363
MANAGEMENT
411

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