A fresh look at the category of ⊤-convergence groups

IF 2.7 1区 数学 Q2 COMPUTER SCIENCE, THEORY & METHODS Fuzzy Sets and Systems Pub Date : 2025-04-09 DOI:10.1016/j.fss.2025.109413
Lingqiang Li, Qiu Jin
{"title":"A fresh look at the category of ⊤-convergence groups","authors":"Lingqiang Li,&nbsp;Qiu Jin","doi":"10.1016/j.fss.2025.109413","DOIUrl":null,"url":null,"abstract":"<div><div>⊤-convergence groups is a natural extension of lattice-valued topological groups, which is a newly introduced mathematical structure. In this paper, we will further explore the theory of ⊤-convergence groups. The main results include: (1) It possesses a novel characterization through the ⊙-product of ⊤-filters, and it is localizable, meaning that each ⊤-convergence group is uniquely determined by the convergence at the identity element of the underlying group. (2) The definition of its subcategory, the topological ⊤-convergence groups, can be simplified by removing the topological condition (TT). (3) It exhibits uniformization, which means that each ⊤-convergence group can be reconstructed from a ⊤-uniformly convergent space. (4) There exists a natural group structure and ⊤-convergence structure on the function space, which makes it a ⊤-convergence group.</div></div>","PeriodicalId":55130,"journal":{"name":"Fuzzy Sets and Systems","volume":"514 ","pages":"Article 109413"},"PeriodicalIF":2.7000,"publicationDate":"2025-04-09","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/S0165011425001526","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

Abstract

⊤-convergence groups is a natural extension of lattice-valued topological groups, which is a newly introduced mathematical structure. In this paper, we will further explore the theory of ⊤-convergence groups. The main results include: (1) It possesses a novel characterization through the ⊙-product of ⊤-filters, and it is localizable, meaning that each ⊤-convergence group is uniquely determined by the convergence at the identity element of the underlying group. (2) The definition of its subcategory, the topological ⊤-convergence groups, can be simplified by removing the topological condition (TT). (3) It exhibits uniformization, which means that each ⊤-convergence group can be reconstructed from a ⊤-uniformly convergent space. (4) There exists a natural group structure and ⊤-convergence structure on the function space, which makes it a ⊤-convergence group.
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
对收敛群范畴的新认识
⊤-Ȥ收敛群是格值拓扑群的自然扩展,是一种新引入的数学结构。本文将进一步探讨Ȥ收敛群的理论。主要结果包括(1) 通过Ȥ滤波的⊙积,它拥有一个新颖的表征,而且它是可局部化的,即每个Ȥ收敛群都是由底层群的标识元处的收敛唯一决定的。(2)它的子类--拓扑Ȥ收敛群的定义可以通过去掉拓扑条件(TT)来简化。(3) 它具有均匀性,即每个Ȥ收敛群都可以从一个Ȥ均匀收敛空间重构出来。(4)函数空间上存在自然群结构和Ȥ收敛结构,这使得它成为一个Ȥ收敛群。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 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
An innovative first-order Takagi-Sugeno neuro-fuzzy systems: The Polak-Ribière-Polyak conjugate gradient learning algorithm with proven convergence A fuzzy concept-cognitive learning approach via structured concept representation On the characterization of fuzzy implications satisfying the laws of left or right contraposition On monotony of fuzzy closure A note on Bertino and Fredricks–Nelsen copulas
×
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:604180095
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