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2001
Conference Paper
Title

About the combination of functional approaches and fuzzy reasoning

Abstract
Learning fuzzy rule-based systems can lead to very useful descriptions of several problems. Many different alternative descriptions can be generated. In many cases, a simple rule base similar to rule bases designed by humans axe preferable since it has a higher possibility of being valid in unforseen cases. Thus, the main idea of this paper is to define a minimal cost function and to generate minimal knowledge bases. Furthermore, this paper shows similarities between the generation of fuzzy systems and the generation of boolean functions on the base of minimal cost functions and it proposes criteria to learn human reasoning fuzzy rules.
Author(s)
Surmann, H.
Mainwork
Computational intelligence. Theory and applications  
Conference
Fuzzy Days 2001  
International Conference on Computational Intelligence 2001  
DOI
10.1007/3-540-45493-4_78
Language
English
AIS  
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