{"title":"具有独立偏好的多标准决策","authors":"W. Stirling, R. Frost, M. Nokleby, Y. Luo","doi":"10.1109/MCDM.2007.369442","DOIUrl":null,"url":null,"abstract":"If preferential independence is assumed inappropriately when developing multicriterion search methods, biased results may occur. A new axiomatic approach to defining conditional preference orderings that naturally accounts for preferential dependencies is presented and illustrated. This approach applies both to scalar optimization techniques that identify a best solution and to evolutionary optimization approaches that approximate the Pareto frontier","PeriodicalId":306422,"journal":{"name":"2007 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Multicriterion Decision Making with Depen ent Preferences\",\"authors\":\"W. Stirling, R. Frost, M. Nokleby, Y. Luo\",\"doi\":\"10.1109/MCDM.2007.369442\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"If preferential independence is assumed inappropriately when developing multicriterion search methods, biased results may occur. A new axiomatic approach to defining conditional preference orderings that naturally accounts for preferential dependencies is presented and illustrated. This approach applies both to scalar optimization techniques that identify a best solution and to evolutionary optimization approaches that approximate the Pareto frontier\",\"PeriodicalId\":306422,\"journal\":{\"name\":\"2007 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MCDM.2007.369442\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MCDM.2007.369442","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multicriterion Decision Making with Depen ent Preferences
If preferential independence is assumed inappropriately when developing multicriterion search methods, biased results may occur. A new axiomatic approach to defining conditional preference orderings that naturally accounts for preferential dependencies is presented and illustrated. This approach applies both to scalar optimization techniques that identify a best solution and to evolutionary optimization approaches that approximate the Pareto frontier