M. Perkowski, M. Marek-Sadowska, L. Józwiak, T. Luba, S. Grygiel, M. Nowicka, R. Malvi, Zhi Wang, Jin S. Zhang
{"title":"Decomposition of Multiple-Valued Relations","authors":"M. Perkowski, M. Marek-Sadowska, L. Józwiak, T. Luba, S. Grygiel, M. Nowicka, R. Malvi, Zhi Wang, Jin S. Zhang","doi":"10.1109/ISMVL.1997.601367","DOIUrl":null,"url":null,"abstract":"This paper presents a new decomposi tion problem decomposition of multi valued MV re lations and a method of its solution Decomposition is non disjoint and multi level A fundamental di erence in decomposition of MV functions and MV relations is discussed the column cofactor pair compatibil ity translates to the group compatibility for functions but not for relations This makes the decomposition of relations more di cult The method is especially e cient for strongly unspeci ed data typical for Ma chine Learning ML It is implemented in program GUD MV","PeriodicalId":284925,"journal":{"name":"IEEE International Symposium on Multiple-Valued Logic","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"50","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE International Symposium on Multiple-Valued Logic","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISMVL.1997.601367","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 50
Abstract
This paper presents a new decomposi tion problem decomposition of multi valued MV re lations and a method of its solution Decomposition is non disjoint and multi level A fundamental di erence in decomposition of MV functions and MV relations is discussed the column cofactor pair compatibil ity translates to the group compatibility for functions but not for relations This makes the decomposition of relations more di cult The method is especially e cient for strongly unspeci ed data typical for Ma chine Learning ML It is implemented in program GUD MV