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Some methods to model fuzzy systems for inference purposes

✍ Scribed by M. Delgado; A.F. Gómez-Skarmeta; F. Martín

Publisher
Elsevier Science
Year
1997
Tongue
English
Weight
735 KB
Volume
16
Category
Article
ISSN
0888-613X

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✦ Synopsis

We present different techniques of fuzzy rule generation using the information we can obtain from the fuzzy clustering of a set of data which describe the behavior of a given system. The methods all try to obtain a first model of the consisted system that is good enough to serve as a first approximation for inference purposes. Thus, it is important that the methods should be as simple as possible but with great approximate power.

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