{"title":"加权模糊融合算子的聚合和模糊化","authors":"Hakim Lamara, L. Vermeiren, D. Roger","doi":"10.1109/FUZZY.2007.4295515","DOIUrl":null,"url":null,"abstract":"This paper follows on from some works achieved in a team of the LAMIH, entitled \"systems modeling and control group\". This ones deal with a fuzzy arithmetic whose first interest is to be more practical than the extension principle one and alpha-cut based methods. It comes from a different representation of fuzzy numbers. The arithmetic proposed can be extended to most of the fuzzy quantities. The present paper follows up work in introducing a metric for fuzzy numbers, a weighted fuzzy fusion operator and its application to data analysis and filtering.","PeriodicalId":236515,"journal":{"name":"2007 IEEE International Fuzzy Systems Conference","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Aggregation and fuzzification by weighted fuzzy fusion operator\",\"authors\":\"Hakim Lamara, L. Vermeiren, D. Roger\",\"doi\":\"10.1109/FUZZY.2007.4295515\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper follows on from some works achieved in a team of the LAMIH, entitled \\\"systems modeling and control group\\\". This ones deal with a fuzzy arithmetic whose first interest is to be more practical than the extension principle one and alpha-cut based methods. It comes from a different representation of fuzzy numbers. The arithmetic proposed can be extended to most of the fuzzy quantities. The present paper follows up work in introducing a metric for fuzzy numbers, a weighted fuzzy fusion operator and its application to data analysis and filtering.\",\"PeriodicalId\":236515,\"journal\":{\"name\":\"2007 IEEE International Fuzzy Systems Conference\",\"volume\":\"56 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-07-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 IEEE International Fuzzy Systems Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FUZZY.2007.4295515\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 IEEE International Fuzzy Systems Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FUZZY.2007.4295515","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Aggregation and fuzzification by weighted fuzzy fusion operator
This paper follows on from some works achieved in a team of the LAMIH, entitled "systems modeling and control group". This ones deal with a fuzzy arithmetic whose first interest is to be more practical than the extension principle one and alpha-cut based methods. It comes from a different representation of fuzzy numbers. The arithmetic proposed can be extended to most of the fuzzy quantities. The present paper follows up work in introducing a metric for fuzzy numbers, a weighted fuzzy fusion operator and its application to data analysis and filtering.