Practical Applications of Fuzzy Technologies [electronic resource] /

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.

Bibliographic Details

Main Authors:	Zimmermann, Hans-Jürgen. editor., SpringerLink (Online service)
Format:	Texto biblioteca
Language:	eng
Published:	Boston, MA : Springer US : Imprint: Springer, 1999
Subjects:	Mathematics., Operations research., Decision making., Artificial intelligence., Mathematical logic., Mechanical engineering., Electrical engineering., Mathematical Logic and Foundations., Operation Research/Decision Theory., Artificial Intelligence (incl. Robotics)., Mechanical Engineering., Electrical Engineering.,
Online Access:	http://dx.doi.org/10.1007/978-1-4615-4601-6
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