{"title":"多模糊属性决策在经销商评价中的应用","authors":"Xue-dan, Tanfei","doi":"10.1109/ICISE.2010.5688503","DOIUrl":null,"url":null,"abstract":"In this paper, Fuzzy Set Theory and cluster analysis is used to build a Comprehensive Evaluation Model for choosing distributor. In this model, descriptive variable will be converted to numerical variable by triangular fuzzy numbers firstly. Then the selected experts will be assigned to groups according to their group appraisal and given weight by cluster analysis. Finally, an example can prove that the construction of multi-attribute evaluation model can conveniently be used for choosing distributors.","PeriodicalId":206435,"journal":{"name":"The 2nd International Conference on Information Science and Engineering","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Application of multiple fuzzy attribute decision to evaluation of distributors\",\"authors\":\"Xue-dan, Tanfei\",\"doi\":\"10.1109/ICISE.2010.5688503\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, Fuzzy Set Theory and cluster analysis is used to build a Comprehensive Evaluation Model for choosing distributor. In this model, descriptive variable will be converted to numerical variable by triangular fuzzy numbers firstly. Then the selected experts will be assigned to groups according to their group appraisal and given weight by cluster analysis. Finally, an example can prove that the construction of multi-attribute evaluation model can conveniently be used for choosing distributors.\",\"PeriodicalId\":206435,\"journal\":{\"name\":\"The 2nd International Conference on Information Science and Engineering\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The 2nd International Conference on Information Science and Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICISE.2010.5688503\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 2nd International Conference on Information Science and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICISE.2010.5688503","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of multiple fuzzy attribute decision to evaluation of distributors
In this paper, Fuzzy Set Theory and cluster analysis is used to build a Comprehensive Evaluation Model for choosing distributor. In this model, descriptive variable will be converted to numerical variable by triangular fuzzy numbers firstly. Then the selected experts will be assigned to groups according to their group appraisal and given weight by cluster analysis. Finally, an example can prove that the construction of multi-attribute evaluation model can conveniently be used for choosing distributors.
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