{"title":"利用模糊偏好结构模糊偏好语义组织信息","authors":"C. Franco, J. Montero","doi":"10.1109/ISKE.2010.5680811","DOIUrl":null,"url":null,"abstract":"This paper examines the framework of preference structures for the general treatment of information. First some fuzzy preference structures are introduced and then, by means of ambiguity and coherence measures, certain attributes of information can be explicitly identified and studied. This investigation is also relevant for a general discussion on fuzzy preference semantics.","PeriodicalId":6417,"journal":{"name":"2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering","volume":"57 1","pages":"135-140"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Organizing information by fuzzy preference structures fuzzy preference semantics\",\"authors\":\"C. Franco, J. Montero\",\"doi\":\"10.1109/ISKE.2010.5680811\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper examines the framework of preference structures for the general treatment of information. First some fuzzy preference structures are introduced and then, by means of ambiguity and coherence measures, certain attributes of information can be explicitly identified and studied. This investigation is also relevant for a general discussion on fuzzy preference semantics.\",\"PeriodicalId\":6417,\"journal\":{\"name\":\"2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering\",\"volume\":\"57 1\",\"pages\":\"135-140\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISKE.2010.5680811\",\"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 IEEE International Conference on Intelligent Systems and Knowledge Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISKE.2010.5680811","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Organizing information by fuzzy preference structures fuzzy preference semantics
This paper examines the framework of preference structures for the general treatment of information. First some fuzzy preference structures are introduced and then, by means of ambiguity and coherence measures, certain attributes of information can be explicitly identified and studied. This investigation is also relevant for a general discussion on fuzzy preference semantics.