2012
DOI: 10.12700/aph.9.6.2012.6.10
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A Hybrid Algorithm for Parameter Tuning in Fuzzy Model Identification

Abstract: Parameter tuning is an important step in automatic fuzzy model identification from sample data. It aims at the determination of quasi-optimal parameter values for fuzzy inference systems using an adequate search technique. In this paper, we introduce a new hybrid search algorithm that uses a variant of the cross-entropy (CE) method for global search purposes and a hill climbing type approach to improve the intermediate results obtained by CE in each iteration stage. The new algorithm was tested against four da… Show more

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Cited by 43 publications
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References 35 publications
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