一个定性近似包含——在模糊关系划分中的应用

P. Bosc, O. Pivert
{"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}
引用次数: 2

摘要

本文研究了包含算子的一种扩展。模糊集间包含的逻辑观点依赖于模糊蕴涵的使用。本文提出的想法是放宽r含义,以便容忍低强度例外,从而获得定性的近似包含。这种类型的包含在数据库领域的具体用法是用关系的近似划分说明的
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
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
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Visualization and Bayesian Nets to link Business Aims Interaction Styles for Service Discovery in Mobile Business Applications Service and Resource Discovery Using P2P An Integrity Semantics for Open World Databases Requirements on the Use of Goal-Directed Imitation for Self-Adaptation
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1