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一类基于数据的解释性模糊建模方法的研究

, PP. 815-824

Keywords: Fuzzymodeling,interpretability,fuzzyclustering

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Abstract:

?Anapproachtoidentifyinterpretablefuzzymodelsfromdataisproposed.Interpretability,whichisoneofthemostimportantfeaturesoffuzzymodels,isanalyzedfirst.Thenumberoffuzzyrulesisdeterminedbyfuzzyclustervalidityindices.Amodifiedfuzzyclusteringalgorithm,combinedwiththeleastsquaremethod,isusedtoidentifytheinitialfuzzymodel.Anorthogonalleastsquarealgorithmandamethodofmergingsimilarfuzzysetsarethenusedtoremovetheredundancyofthefuzzymodelandimproveitsinterpretability.Next,inordertoattainhighaccuracy,whilepreservinginterpretability,aconstrainedLevenberg-Marquardtmethodisutilizedtooptimizetheprecisionofthefuzzymodel.Finally,theproposedapproachisappliedtoaPHneutralizationprocess,andtheresultsshowitsvalidity.

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