{"title":"一个定性近似包含——在模糊关系划分中的应用","authors":"P. Bosc, O. Pivert","doi":"10.1109/DEXA.2006.100","DOIUrl":null,"url":null,"abstract":"This paper is devoted to an extension of the inclusion operator. The logical view of the inclusion between fuzzy sets rests on the use of fuzzy implications. The idea suggested in this paper is to relax R-implications in order to tolerate low-level intensity exceptions and thus obtain a qualitative approximate inclusion. A concrete usage of this type of inclusion is illustrated in the area of databases, with the approximate division of relations","PeriodicalId":282986,"journal":{"name":"17th International Workshop on Database and Expert Systems Applications (DEXA'06)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"On a Qualitiative Approximate Inclusion -- Application to the Division of Fuzzy Relations\",\"authors\":\"P. Bosc, O. Pivert\",\"doi\":\"10.1109/DEXA.2006.100\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper is devoted to an extension of the inclusion operator. The logical view of the inclusion between fuzzy sets rests on the use of fuzzy implications. The idea suggested in this paper is to relax R-implications in order to tolerate low-level intensity exceptions and thus obtain a qualitative approximate inclusion. A concrete usage of this type of inclusion is illustrated in the area of databases, with the approximate division of relations\",\"PeriodicalId\":282986,\"journal\":{\"name\":\"17th International Workshop on Database and Expert Systems Applications (DEXA'06)\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-09-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"17th International Workshop on Database and Expert Systems Applications (DEXA'06)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DEXA.2006.100\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"17th International Workshop on Database and Expert Systems Applications (DEXA'06)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DEXA.2006.100","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
On a Qualitiative Approximate Inclusion -- Application to the Division of Fuzzy Relations
This paper is devoted to an extension of the inclusion operator. The logical view of the inclusion between fuzzy sets rests on the use of fuzzy implications. The idea suggested in this paper is to relax R-implications in order to tolerate low-level intensity exceptions and thus obtain a qualitative approximate inclusion. A concrete usage of this type of inclusion is illustrated in the area of databases, with the approximate division of relations