{"title":"基于模糊集的混合多属性决策","authors":"Wang Haixia, Y. Aiping, Dai Wenzhan","doi":"10.1109/WCICA.2010.5554924","DOIUrl":null,"url":null,"abstract":"In view of the practical problems in hybrid multi-attribute decision-making, a method based on vague sets is proposed. Firstly, the qualitative and quantitative indicator values described by linguistic variables and exact numbers respectively are transformed into vague values. Secondly, a model of hybrid multi-objective decision making based on vague sets is put forward. Thirdly a novel comprehensive evaluation index is proposed, by which the meaning of “which is closest to PIS (Positive Ideal Solution) and farthest from NIS (Negative Ideal Solution)” is expressed and the concrete steps of hybrid multi-attribute decision making on vague sets is given. Finally, the proposed method is applied into a case study and the result proves the method is effective.","PeriodicalId":315420,"journal":{"name":"2010 8th World Congress on Intelligent Control and Automation","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Hybrid multi-attribute decision making based on vague sets\",\"authors\":\"Wang Haixia, Y. Aiping, Dai Wenzhan\",\"doi\":\"10.1109/WCICA.2010.5554924\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In view of the practical problems in hybrid multi-attribute decision-making, a method based on vague sets is proposed. Firstly, the qualitative and quantitative indicator values described by linguistic variables and exact numbers respectively are transformed into vague values. Secondly, a model of hybrid multi-objective decision making based on vague sets is put forward. Thirdly a novel comprehensive evaluation index is proposed, by which the meaning of “which is closest to PIS (Positive Ideal Solution) and farthest from NIS (Negative Ideal Solution)” is expressed and the concrete steps of hybrid multi-attribute decision making on vague sets is given. Finally, the proposed method is applied into a case study and the result proves the method is effective.\",\"PeriodicalId\":315420,\"journal\":{\"name\":\"2010 8th World Congress on Intelligent Control and Automation\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-07-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 8th World Congress on Intelligent Control and Automation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WCICA.2010.5554924\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 8th World Congress on Intelligent Control and Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WCICA.2010.5554924","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Hybrid multi-attribute decision making based on vague sets
In view of the practical problems in hybrid multi-attribute decision-making, a method based on vague sets is proposed. Firstly, the qualitative and quantitative indicator values described by linguistic variables and exact numbers respectively are transformed into vague values. Secondly, a model of hybrid multi-objective decision making based on vague sets is put forward. Thirdly a novel comprehensive evaluation index is proposed, by which the meaning of “which is closest to PIS (Positive Ideal Solution) and farthest from NIS (Negative Ideal Solution)” is expressed and the concrete steps of hybrid multi-attribute decision making on vague sets is given. Finally, the proposed method is applied into a case study and the result proves the method is effective.