Rule-base Self-extraction and Simplification for Fuzzy Systems

2004, Volume 6, Issue 10

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Strategic Study of CAE >> 2004, Volume 6, Issue 10

Rule-base Self-extraction and Simplification for Fuzzy Systems

1. School of management , Chinese University of Geosciences , Wuhan 430074 , China

2. Xuchang Vocational Technical college , Xuchang , Henan 461000 , China

Funding project：国家自然科学基金项目资助（70273044） Received: 2003-11-21 Revised: 2004-07-15 Available online: 2004-10-20

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Abstract

In this paper, a fuzzy model algorithm for a rule-base self-extraction and simplification is introduced. The method consistes of three steps: The first step is to classify the out-in space by constructing a fuzzy partition validity index, then the optimal number of dusters and, hence, the optimal number of rules are obtained; The second step is to construct the initial fuzzy system based on the optimal number of rules and neural networks; The third step is to get the function of computing similarity of fuzzy sets by fuzzy similarity analysis method. The similar fuzzy sets are merged to create a common fuzzy set in rule base based on threshold value. Thus a fuzzy system with interpretability and simplicity is obtained. At last, the fuzzy rules of productivity factor of China is extracted by the fuzzy system.

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References

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