{"title":"模糊多属性决策的混合决策方法","authors":"Weijian Jin, Hanhui Hu","doi":"10.1109/ICICISYS.2009.5357951","DOIUrl":null,"url":null,"abstract":"Hamming distance, fuzzy nearness degree and grey relation analysis (GRA) are used to solve fuzzy multiply attribute decision making. This paper proposes a new method named improved similar approach degree method for combining those three kinds of methods to decision making. Finally, the hybrid decision method is illustrated by a numerical example, which shows this method is effective and easy to calculate.","PeriodicalId":206575,"journal":{"name":"2009 IEEE International Conference on Intelligent Computing and Intelligent Systems","volume":"190 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Hybrid decision method for fuzzy multiply attribute decision making\",\"authors\":\"Weijian Jin, Hanhui Hu\",\"doi\":\"10.1109/ICICISYS.2009.5357951\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Hamming distance, fuzzy nearness degree and grey relation analysis (GRA) are used to solve fuzzy multiply attribute decision making. This paper proposes a new method named improved similar approach degree method for combining those three kinds of methods to decision making. Finally, the hybrid decision method is illustrated by a numerical example, which shows this method is effective and easy to calculate.\",\"PeriodicalId\":206575,\"journal\":{\"name\":\"2009 IEEE International Conference on Intelligent Computing and Intelligent Systems\",\"volume\":\"190 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-12-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 IEEE International Conference on Intelligent Computing and Intelligent Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICICISYS.2009.5357951\",\"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 Intelligent Computing and Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICISYS.2009.5357951","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Hybrid decision method for fuzzy multiply attribute decision making
Hamming distance, fuzzy nearness degree and grey relation analysis (GRA) are used to solve fuzzy multiply attribute decision making. This paper proposes a new method named improved similar approach degree method for combining those three kinds of methods to decision making. Finally, the hybrid decision method is illustrated by a numerical example, which shows this method is effective and easy to calculate.
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