{"title":"Algorithm to forming a rule base for a fuzzy classifier designed on the basis of the K-means clustering algorithm and the whale optimization algorithm","authors":"N. Koryshev, Radioelectronics, I. Hodashinsky","doi":"10.21293/1818-0442-2021-24-1-42-47","DOIUrl":null,"url":null,"abstract":"The article presents a description of the algorithm for generating fuzzy rules for a fuzzy classifier using data clustering, metaheuristic, and the clustering quality index, as well as the results of performance testing on real data sets.","PeriodicalId":273068,"journal":{"name":"Proceedings of Tomsk State University of Control Systems and Radioelectronics","volume":"53 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of Tomsk State University of Control Systems and Radioelectronics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21293/1818-0442-2021-24-1-42-47","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The article presents a description of the algorithm for generating fuzzy rules for a fuzzy classifier using data clustering, metaheuristic, and the clustering quality index, as well as the results of performance testing on real data sets.