L 粗空间的规范性

IF 3.2 1区 数学 Q2 COMPUTER SCIENCE, THEORY & METHODS Fuzzy Sets and Systems Pub Date : 2024-06-25 DOI:10.1016/j.fss.2024.109053
Yi Shi , Hui Yang
{"title":"L 粗空间的规范性","authors":"Yi Shi ,&nbsp;Hui Yang","doi":"10.1016/j.fss.2024.109053","DOIUrl":null,"url":null,"abstract":"<div><p>For <em>L</em> being a completely distributive lattice, we introduce a notion of <em>L</em>-coarse spaces, which can be regarded as a large-scale analogue of probabilistic uniform spaces. The main goal of this paper is to investigate the properties of <em>L</em>-coarse spaces that can induce <em>L</em>-valued coarse proximity spaces. First of all, we introduce a notion of <em>L</em>-valued coarse neighborhood systems, and show that the resulting category is isomorphic to that of <em>L</em>-valued coarse proximity spaces. Then we study the normality of coarsely connected <em>L</em>-coarse spaces and of asymptotically connected <em>L</em>-valued asymptotic resemblance spaces, and show that these two normality properties are coincident. More importantly, we show that a coarsely connected <em>L</em>-coarse space induces an <em>L</em>-valued coarse proximity if and only if it is coarsely normal. We conclude with noting that the previous result are also valid for asymptotically connected <em>L</em>-valued asymptotic resemblance spaces.</p></div>","PeriodicalId":55130,"journal":{"name":"Fuzzy Sets and Systems","volume":"491 ","pages":"Article 109053"},"PeriodicalIF":3.2000,"publicationDate":"2024-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The normality of L-coarse spaces\",\"authors\":\"Yi Shi ,&nbsp;Hui Yang\",\"doi\":\"10.1016/j.fss.2024.109053\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>For <em>L</em> being a completely distributive lattice, we introduce a notion of <em>L</em>-coarse spaces, which can be regarded as a large-scale analogue of probabilistic uniform spaces. The main goal of this paper is to investigate the properties of <em>L</em>-coarse spaces that can induce <em>L</em>-valued coarse proximity spaces. First of all, we introduce a notion of <em>L</em>-valued coarse neighborhood systems, and show that the resulting category is isomorphic to that of <em>L</em>-valued coarse proximity spaces. Then we study the normality of coarsely connected <em>L</em>-coarse spaces and of asymptotically connected <em>L</em>-valued asymptotic resemblance spaces, and show that these two normality properties are coincident. More importantly, we show that a coarsely connected <em>L</em>-coarse space induces an <em>L</em>-valued coarse proximity if and only if it is coarsely normal. We conclude with noting that the previous result are also valid for asymptotically connected <em>L</em>-valued asymptotic resemblance spaces.</p></div>\",\"PeriodicalId\":55130,\"journal\":{\"name\":\"Fuzzy Sets and Systems\",\"volume\":\"491 \",\"pages\":\"Article 109053\"},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2024-06-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Fuzzy Sets and Systems\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0165011424001994\",\"RegionNum\":1,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, THEORY & METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fuzzy Sets and Systems","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0165011424001994","RegionNum":1,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, THEORY & METHODS","Score":null,"Total":0}
引用次数: 0

摘要

对于完全分布网格 L,我们引入了一个 L 粗空间的概念,它可以被视为概率均匀空间的大规模类似物。本文的主要目标是研究能诱导 L 值粗临近空间的 L-粗空间的性质。首先,我们引入了一个 L 值粗邻域系统的概念,并证明了由此产生的类别与 L 值粗邻域空间的类别同构。然后,我们研究了粗连接 L-粗空间和渐近连接 L 值渐近相似空间的正态性,并证明这两个正态性是重合的。更重要的是,我们证明了当且仅当一个粗连接的 L-coarse 空间是粗正态的时候,它才会诱导出一个 L 值粗近似空间。最后,我们指出前面的结果对于渐近连接的 L 值渐近相似空间也是有效的。
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
The normality of L-coarse spaces

For L being a completely distributive lattice, we introduce a notion of L-coarse spaces, which can be regarded as a large-scale analogue of probabilistic uniform spaces. The main goal of this paper is to investigate the properties of L-coarse spaces that can induce L-valued coarse proximity spaces. First of all, we introduce a notion of L-valued coarse neighborhood systems, and show that the resulting category is isomorphic to that of L-valued coarse proximity spaces. Then we study the normality of coarsely connected L-coarse spaces and of asymptotically connected L-valued asymptotic resemblance spaces, and show that these two normality properties are coincident. More importantly, we show that a coarsely connected L-coarse space induces an L-valued coarse proximity if and only if it is coarsely normal. We conclude with noting that the previous result are also valid for asymptotically connected L-valued asymptotic resemblance spaces.

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
Fuzzy Sets and Systems
Fuzzy Sets and Systems 数学-计算机:理论方法
CiteScore
6.50
自引率
17.90%
发文量
321
审稿时长
6.1 months
期刊介绍: Since its launching in 1978, the journal Fuzzy Sets and Systems has been devoted to the international advancement of the theory and application of fuzzy sets and systems. The theory of fuzzy sets now encompasses a well organized corpus of basic notions including (and not restricted to) aggregation operations, a generalized theory of relations, specific measures of information content, a calculus of fuzzy numbers. Fuzzy sets are also the cornerstone of a non-additive uncertainty theory, namely possibility theory, and of a versatile tool for both linguistic and numerical modeling: fuzzy rule-based systems. Numerous works now combine fuzzy concepts with other scientific disciplines as well as modern technologies. In mathematics fuzzy sets have triggered new research topics in connection with category theory, topology, algebra, analysis. Fuzzy sets are also part of a recent trend in the study of generalized measures and integrals, and are combined with statistical methods. Furthermore, fuzzy sets have strong logical underpinnings in the tradition of many-valued logics.
期刊最新文献
Average general fractal dimensions of typical compact metric spaces A note on the cross-migrativity between uninorms and overlap (grouping) functions Combining thresholded real values for designing an artificial neuron in a neural network Nonfragile anti-transitional-asynchrony fault tolerant control for IT2 fuzzy semi-Markov jump systems with actuator failures Learning-enabled event-triggered fuzzy adaptive control of multiagent systems with prescribed performance: A chaos-based privacy-preserving method
×
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