{"title":"The Multicollinearity Problem in the Fuzzy Linear Regression Model","authors":"V. Gisin, B. Putko, I. Yarygina","doi":"10.1109/scm55405.2022.9794871","DOIUrl":null,"url":null,"abstract":"The paper considers the problem of detecting multicollinearity in a fuzzy linear regression model. An approach is proposed to identify the fuzzy linear dependence of vectors. This approach allows detecting the linear dependence of explanatory variables.","PeriodicalId":162457,"journal":{"name":"2022 XXV International Conference on Soft Computing and Measurements (SCM)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 XXV International Conference on Soft Computing and Measurements (SCM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/scm55405.2022.9794871","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 paper considers the problem of detecting multicollinearity in a fuzzy linear regression model. An approach is proposed to identify the fuzzy linear dependence of vectors. This approach allows detecting the linear dependence of explanatory variables.