关于一些广义关系

B. Tripathy, M. Satapathy, P. K. Choudhury
{"title":"关于一些广义关系","authors":"B. Tripathy, M. Satapathy, P. K. Choudhury","doi":"10.1109/CICN.2014.156","DOIUrl":null,"url":null,"abstract":"Crisp set relations have been generalised to fuzzy relations, intuitionistic fuzzy relations, rough relations and also some hybrid relations related to these notions. Rough set is a fruitful model to capture imprecision in data. There are two approaches to the rough set notion. The approach by Pawlak is topological by nature and the approach of Iwinski is algebraic by nature. In this paper we define several generalised relations where the rough set definition considered is that of Iwinski and prove many properties of these relations. These relations can be used in different fields of computer science like, databases, artificial intelligence, granular computing and soft computing. We illustrate by example the structures of most of the concepts introduced in the paper.","PeriodicalId":6487,"journal":{"name":"2014 International Conference on Computational Intelligence and Communication Networks","volume":"4 1","pages":"714-718"},"PeriodicalIF":0.0000,"publicationDate":"2014-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"On Some Generalized Relations\",\"authors\":\"B. Tripathy, M. Satapathy, P. K. Choudhury\",\"doi\":\"10.1109/CICN.2014.156\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Crisp set relations have been generalised to fuzzy relations, intuitionistic fuzzy relations, rough relations and also some hybrid relations related to these notions. Rough set is a fruitful model to capture imprecision in data. There are two approaches to the rough set notion. The approach by Pawlak is topological by nature and the approach of Iwinski is algebraic by nature. In this paper we define several generalised relations where the rough set definition considered is that of Iwinski and prove many properties of these relations. These relations can be used in different fields of computer science like, databases, artificial intelligence, granular computing and soft computing. We illustrate by example the structures of most of the concepts introduced in the paper.\",\"PeriodicalId\":6487,\"journal\":{\"name\":\"2014 International Conference on Computational Intelligence and Communication Networks\",\"volume\":\"4 1\",\"pages\":\"714-718\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-11-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 International Conference on Computational Intelligence and Communication Networks\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CICN.2014.156\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Computational Intelligence and Communication Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CICN.2014.156","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

脆集关系被推广到模糊关系、直觉模糊关系、粗糙关系以及与这些概念相关的一些混合关系。粗糙集是捕获数据不精确的有效模型。粗糙集概念有两种方法。Pawlak的方法本质上是拓扑的,Iwinski的方法本质上是代数的。本文定义了几个考虑Iwinski粗糙集定义的广义关系,并证明了这些关系的许多性质。这些关系可用于计算机科学的不同领域,如数据库、人工智能、颗粒计算和软计算。我们用实例来说明文中介绍的大部分概念的结构。
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 Some Generalized Relations
Crisp set relations have been generalised to fuzzy relations, intuitionistic fuzzy relations, rough relations and also some hybrid relations related to these notions. Rough set is a fruitful model to capture imprecision in data. There are two approaches to the rough set notion. The approach by Pawlak is topological by nature and the approach of Iwinski is algebraic by nature. In this paper we define several generalised relations where the rough set definition considered is that of Iwinski and prove many properties of these relations. These relations can be used in different fields of computer science like, databases, artificial intelligence, granular computing and soft computing. We illustrate by example the structures of most of the concepts introduced in the paper.
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
Research on Flow Control of all Vanadium Flow Battery Energy Storage Based on Fuzzy Algorithm Synthetic Aperture Radar System Using Digital Chirp Signal Generator Based on the Piecewise Higher Order Polynomial Interpolation Technique Frequency-Domain Equalization for E-Band Transmission System A Mean-Semi-variance Portfolio Optimization Model with Full Transaction Costs Detailed Evaluation of DEM Interpolation Methods in GIS Using DGPS Data
×
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