About the Combination of Functional Approaches and Fuzzy Reasoning

Authors:
Hartmut Surmann
Affiliations:
-
Venue:
Proceedings of the International Conference, 7th Fuzzy Days on Computational Intelligence, Theory and Applications
Year:
2001

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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 are 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.