A Fuzzy Clustering Algorithm for Generating Fuzzy Rules from Numerical Data
نویسندگان
چکیده
This paper proposes a fuzzy clustering algorithm for fuzzy modeling. The algorithm is based on the assumption that, with an input fully matching with the premise part of a specific fuzzy rule, the corresponding output should completely participate in the consequent part. In order to accomplish this, certain conditions are satisfied. The application of the algorithm to two test cases, which have been considered as benchmarks in fuzzy modeling applications, showed that the produced models were of compact size, while the respective predictions were very accurate.
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تاریخ انتشار 2004