{"title":"基于灰色关联分析的模糊多属性决策","authors":"Xin-bo Zhang, Ying Lu","doi":"10.1109/KAMW.2008.4810596","DOIUrl":null,"url":null,"abstract":"Uncertainty and grey often exist in many practical decision making problems. Aiming at this trait, we consider these two features when making decision and show the grey fuzzy set by combining membership degree with grey degree. In this paper, in view of the characteristics of grey fuzzy number, grey fuzzy comprehensive relation degree is defined. And present a method about the relation degree analysis for grey fuzzy multi-attribute decision making. This method is simple and practical. And the decision-making results is more objective and credible.","PeriodicalId":375613,"journal":{"name":"2008 IEEE International Symposium on Knowledge Acquisition and Modeling Workshop","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Fuzzy Multi-attribute Decision-making Based on Grey Relation Analysis\",\"authors\":\"Xin-bo Zhang, Ying Lu\",\"doi\":\"10.1109/KAMW.2008.4810596\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Uncertainty and grey often exist in many practical decision making problems. Aiming at this trait, we consider these two features when making decision and show the grey fuzzy set by combining membership degree with grey degree. In this paper, in view of the characteristics of grey fuzzy number, grey fuzzy comprehensive relation degree is defined. And present a method about the relation degree analysis for grey fuzzy multi-attribute decision making. This method is simple and practical. And the decision-making results is more objective and credible.\",\"PeriodicalId\":375613,\"journal\":{\"name\":\"2008 IEEE International Symposium on Knowledge Acquisition and Modeling Workshop\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 IEEE International Symposium on Knowledge Acquisition and Modeling Workshop\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/KAMW.2008.4810596\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE International Symposium on Knowledge Acquisition and Modeling Workshop","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/KAMW.2008.4810596","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fuzzy Multi-attribute Decision-making Based on Grey Relation Analysis
Uncertainty and grey often exist in many practical decision making problems. Aiming at this trait, we consider these two features when making decision and show the grey fuzzy set by combining membership degree with grey degree. In this paper, in view of the characteristics of grey fuzzy number, grey fuzzy comprehensive relation degree is defined. And present a method about the relation degree analysis for grey fuzzy multi-attribute decision making. This method is simple and practical. And the decision-making results is more objective and credible.
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