{"title":"基于小生境遗传算法的多属性自动协商模型","authors":"Chen Pei-you, Li Yi-ling","doi":"10.1109/CCDC.2010.5498579","DOIUrl":null,"url":null,"abstract":"A multi-criteria ranking method about interval-valued intuitionistic fuzzy sets is introduced into the automatic negotiation model to weaken the subjectivity of preference information report from negotiation Agents. Using evidential reasoning algorithms, the criteria values are aggregated and the interval intuitionist fuzzy sets of alternatives are obtained; considering the incomplete certain information on weight, a nonlinear programming model is developed and the weight of various attribute is obtained. The niche genetic algorithm is proposed to search optimization and improve astringency. Finally, a simulation testing shows the model is a feasible and effective, which can help negotiation Agents to reach quickly a mutually beneficial agreement objectively.","PeriodicalId":227938,"journal":{"name":"2010 Chinese Control and Decision Conference","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Multi-attribute automatic negotiation model based on niche genetic algorithm\",\"authors\":\"Chen Pei-you, Li Yi-ling\",\"doi\":\"10.1109/CCDC.2010.5498579\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A multi-criteria ranking method about interval-valued intuitionistic fuzzy sets is introduced into the automatic negotiation model to weaken the subjectivity of preference information report from negotiation Agents. Using evidential reasoning algorithms, the criteria values are aggregated and the interval intuitionist fuzzy sets of alternatives are obtained; considering the incomplete certain information on weight, a nonlinear programming model is developed and the weight of various attribute is obtained. The niche genetic algorithm is proposed to search optimization and improve astringency. Finally, a simulation testing shows the model is a feasible and effective, which can help negotiation Agents to reach quickly a mutually beneficial agreement objectively.\",\"PeriodicalId\":227938,\"journal\":{\"name\":\"2010 Chinese Control and Decision Conference\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-05-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 Chinese Control and Decision Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCDC.2010.5498579\",\"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 Chinese Control and Decision Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCDC.2010.5498579","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multi-attribute automatic negotiation model based on niche genetic algorithm
A multi-criteria ranking method about interval-valued intuitionistic fuzzy sets is introduced into the automatic negotiation model to weaken the subjectivity of preference information report from negotiation Agents. Using evidential reasoning algorithms, the criteria values are aggregated and the interval intuitionist fuzzy sets of alternatives are obtained; considering the incomplete certain information on weight, a nonlinear programming model is developed and the weight of various attribute is obtained. The niche genetic algorithm is proposed to search optimization and improve astringency. Finally, a simulation testing shows the model is a feasible and effective, which can help negotiation Agents to reach quickly a mutually beneficial agreement objectively.
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