{"title":"Determination of parameter d50c of hydrocyclones using improved multidimensional alpha-cut based fuzzy interpolation technique","authors":"Kok Wai Wong, C. Fung, H. Eren, Tom Gedeon","doi":"10.1109/IMTC.2001.929474","DOIUrl":null,"url":null,"abstract":"In most control and engineering applications, the use of fuzzy system as a way to improve the human-computer interaction has becoming popular. This paper reports on the use of fuzzy system in mineral processing specifically in determining the parameter d50c of hydrocyclone. However, with the input/output data provided to build the fuzzy rule base, it normally results in a sparse fuzzy rule base. This paper examines the use of the improved multidimensional alpha-cut based (IMUL) fuzzy interpolation technique to improve the prediction capability of the sparse fuzzy rule base.","PeriodicalId":68878,"journal":{"name":"Journal of Measurement Science and Instrumentation","volume":"1 1","pages":"1602-1606 vol.3"},"PeriodicalIF":0.0000,"publicationDate":"2001-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Measurement Science and Instrumentation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IMTC.2001.929474","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
In most control and engineering applications, the use of fuzzy system as a way to improve the human-computer interaction has becoming popular. This paper reports on the use of fuzzy system in mineral processing specifically in determining the parameter d50c of hydrocyclone. However, with the input/output data provided to build the fuzzy rule base, it normally results in a sparse fuzzy rule base. This paper examines the use of the improved multidimensional alpha-cut based (IMUL) fuzzy interpolation technique to improve the prediction capability of the sparse fuzzy rule base.