{"title":"Methods and Technologies of Application of Fuzzy Models for Processing Industrial Data and Quality Management of Polymer Materials","authors":"T. Chistyakova, R. Makaruk, Azamat Ch. Tedtoev","doi":"10.1109/scm55405.2022.9794846","DOIUrl":null,"url":null,"abstract":"The paper presents methods and technologies for the use of fuzzy models for the analysis and quality control of polymer materials. In accordance with the approaches under consideration, a single reconfigurable computer system was developed that allows for a comprehensive analysis of the quality of products of multi-assortment polymer industries. The methods and technologies that allow using fuzzy models to evaluate the color characteristics of polymer materials are described, which makes it possible to eliminate the incompleteness of the input data about the object of study and improve the quality of the results of the system as a whole","PeriodicalId":162457,"journal":{"name":"2022 XXV International Conference on Soft Computing and Measurements (SCM)","volume":"20 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/scm55405.2022.9794846","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 presents methods and technologies for the use of fuzzy models for the analysis and quality control of polymer materials. In accordance with the approaches under consideration, a single reconfigurable computer system was developed that allows for a comprehensive analysis of the quality of products of multi-assortment polymer industries. The methods and technologies that allow using fuzzy models to evaluate the color characteristics of polymer materials are described, which makes it possible to eliminate the incompleteness of the input data about the object of study and improve the quality of the results of the system as a whole
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