{"title":"一种基于模糊的数值约束网络方法","authors":"K. Kim, P. Cho","doi":"10.1109/FUZZY.1994.343572","DOIUrl":null,"url":null,"abstract":"Current numeric constraint propagation systems accepting exact numeric values or intervals have a limitation on representing the preference among values. To represent and handle the preference on the values, the notion of fuzzy numeric constraint networks is introduced. After defining the notion of fuzzy consistency, we show that fuzzy consistency can be represented by an extension of interval consistency. Using this relation, we propose a propagation algorithm for solving fuzzy numeric constraint networks.<<ETX>>","PeriodicalId":153967,"journal":{"name":"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"A fuzzy-based approach to numeric constraint networks\",\"authors\":\"K. Kim, P. Cho\",\"doi\":\"10.1109/FUZZY.1994.343572\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Current numeric constraint propagation systems accepting exact numeric values or intervals have a limitation on representing the preference among values. To represent and handle the preference on the values, the notion of fuzzy numeric constraint networks is introduced. After defining the notion of fuzzy consistency, we show that fuzzy consistency can be represented by an extension of interval consistency. Using this relation, we propose a propagation algorithm for solving fuzzy numeric constraint networks.<<ETX>>\",\"PeriodicalId\":153967,\"journal\":{\"name\":\"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-06-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FUZZY.1994.343572\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FUZZY.1994.343572","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A fuzzy-based approach to numeric constraint networks
Current numeric constraint propagation systems accepting exact numeric values or intervals have a limitation on representing the preference among values. To represent and handle the preference on the values, the notion of fuzzy numeric constraint networks is introduced. After defining the notion of fuzzy consistency, we show that fuzzy consistency can be represented by an extension of interval consistency. Using this relation, we propose a propagation algorithm for solving fuzzy numeric constraint networks.<>
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