{"title":"基于综合评价值之间最大偏差的权重积分方法","authors":"Qiaoxing Li, Jianmei Yang, Zhong-xing Wang","doi":"10.1109/GSIS.2009.5408144","DOIUrl":null,"url":null,"abstract":"By combining the subjective and objective weights with the optimization technique, we construct an optimal model to make the deviation among the aggregated evaluation values as large as possible. Then the final weights of indices, which reflect the subjective and objective information, can be obtained. This approach is propitious to order schemes and select the best one.","PeriodicalId":294363,"journal":{"name":"2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Approach to integrate weights based on the largest deviation among the values of aggregated evaluation\",\"authors\":\"Qiaoxing Li, Jianmei Yang, Zhong-xing Wang\",\"doi\":\"10.1109/GSIS.2009.5408144\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"By combining the subjective and objective weights with the optimization technique, we construct an optimal model to make the deviation among the aggregated evaluation values as large as possible. Then the final weights of indices, which reflect the subjective and objective information, can be obtained. This approach is propitious to order schemes and select the best one.\",\"PeriodicalId\":294363,\"journal\":{\"name\":\"2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009)\",\"volume\":\"44 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"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.2009.5408144\",\"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.2009.5408144","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Approach to integrate weights based on the largest deviation among the values of aggregated evaluation
By combining the subjective and objective weights with the optimization technique, we construct an optimal model to make the deviation among the aggregated evaluation values as large as possible. Then the final weights of indices, which reflect the subjective and objective information, can be obtained. This approach is propitious to order schemes and select the best one.