{"title":"Optimizing Nonlinear Parameters of Sugeno Type Fuzzy Rules using GWO for Data Classification","authors":"M. Abdulgader, D. Kaur","doi":"10.1142/s1469026820500091","DOIUrl":null,"url":null,"abstract":"In this paper, a Sugeno type fuzzy system based on the fuzzy clustering has been developed for a variety of datasets. The number of rules for each dataset is based on the optimum number of clusters...","PeriodicalId":422521,"journal":{"name":"Int. J. Comput. Intell. Appl.","volume":"75 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. Comput. Intell. Appl.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1142/s1469026820500091","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract
In this paper, a Sugeno type fuzzy system based on the fuzzy clustering has been developed for a variety of datasets. The number of rules for each dataset is based on the optimum number of clusters...
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