{"title":"混合多属性决策的集成信息熵法","authors":"Xiao-xia Zhu, Qun Wang","doi":"10.1109/ICMLC.2010.5580965","DOIUrl":null,"url":null,"abstract":"This paper discusses a hybrid multi-attribute decision making problems (HMADMP) in which attribute weights are unknown and attribute values are given in the forms of real number, interval number, fuzzy number and semantics. Through the process of the attribute values transformation and clarity, proposed the method with the integration information entropy to calculate the comprehensive weights, and established a hybrid multi-attribute decision model based on comprehensive information entropy. Finally, Application examples demonstrate its feasibility and effectiveness.","PeriodicalId":126080,"journal":{"name":"2010 International Conference on Machine Learning and Cybernetics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"The integration information entropy method for the hybrid multi-attribute decision-making\",\"authors\":\"Xiao-xia Zhu, Qun Wang\",\"doi\":\"10.1109/ICMLC.2010.5580965\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper discusses a hybrid multi-attribute decision making problems (HMADMP) in which attribute weights are unknown and attribute values are given in the forms of real number, interval number, fuzzy number and semantics. Through the process of the attribute values transformation and clarity, proposed the method with the integration information entropy to calculate the comprehensive weights, and established a hybrid multi-attribute decision model based on comprehensive information entropy. Finally, Application examples demonstrate its feasibility and effectiveness.\",\"PeriodicalId\":126080,\"journal\":{\"name\":\"2010 International Conference on Machine Learning and Cybernetics\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-07-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Machine Learning and Cybernetics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMLC.2010.5580965\",\"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 International Conference on Machine Learning and Cybernetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMLC.2010.5580965","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The integration information entropy method for the hybrid multi-attribute decision-making
This paper discusses a hybrid multi-attribute decision making problems (HMADMP) in which attribute weights are unknown and attribute values are given in the forms of real number, interval number, fuzzy number and semantics. Through the process of the attribute values transformation and clarity, proposed the method with the integration information entropy to calculate the comprehensive weights, and established a hybrid multi-attribute decision model based on comprehensive information entropy. Finally, Application examples demonstrate its feasibility and effectiveness.
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