{"title":"基于topsis的基于三点语言信息的属性权重求解","authors":"Ningning Zhu, Jian-jun Zhu, Ye Ding","doi":"10.1109/GSIS.2009.5408161","DOIUrl":null,"url":null,"abstract":"The multi-attribute decision making problem of uncertain three-point linguistic information is studied in this paper. The weight vector of indicators can be obtained through establishing linear goal programming in views of how to calculate the weight of indicators. Then according to the method of TOPSIS, the calculation steps of multi-attribute decision making problem of uncertain three-point linguistic information is proposed. In this paper, TOPSIS is used to solve the problem of uncertain three-point linguistic information. It can overcome the difficulty which is hard to process the interval. Finally, the method is used to evaluate the effect of the government's energy saving policies.","PeriodicalId":294363,"journal":{"name":"2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"TOPSIS-based attribute weight solution using three-point linguistic information\",\"authors\":\"Ningning Zhu, Jian-jun Zhu, Ye Ding\",\"doi\":\"10.1109/GSIS.2009.5408161\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The multi-attribute decision making problem of uncertain three-point linguistic information is studied in this paper. The weight vector of indicators can be obtained through establishing linear goal programming in views of how to calculate the weight of indicators. Then according to the method of TOPSIS, the calculation steps of multi-attribute decision making problem of uncertain three-point linguistic information is proposed. In this paper, TOPSIS is used to solve the problem of uncertain three-point linguistic information. It can overcome the difficulty which is hard to process the interval. Finally, the method is used to evaluate the effect of the government's energy saving policies.\",\"PeriodicalId\":294363,\"journal\":{\"name\":\"2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009)\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GSIS.2009.5408161\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GSIS.2009.5408161","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
TOPSIS-based attribute weight solution using three-point linguistic information
The multi-attribute decision making problem of uncertain three-point linguistic information is studied in this paper. The weight vector of indicators can be obtained through establishing linear goal programming in views of how to calculate the weight of indicators. Then according to the method of TOPSIS, the calculation steps of multi-attribute decision making problem of uncertain three-point linguistic information is proposed. In this paper, TOPSIS is used to solve the problem of uncertain three-point linguistic information. It can overcome the difficulty which is hard to process the interval. Finally, the method is used to evaluate the effect of the government's energy saving policies.