Frame-valued assembly and its applications

IF 3.2 1区 数学 Q2 COMPUTER SCIENCE, THEORY & METHODS
Mengying Liu, Yueli Yue
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引用次数: 0

Abstract

The aim of this paper is to use fuzzy domain theory to study some cartesian closed categories containing the category of stratified L-topological spaces when the truth value table L is a frame. Firstly, we introduce the concept of L-fuzzy assemblies and prove that L-FAssm—the category of L-fuzzy assemblies—is cartesian closed. L-FAssm contains the category of stratified L-topological spaces as a full and faithful subcategory. Secondly, by equipping a stratified T0-L-topological space with an equivalence relation, we introduce the concept of L-equilogical spaces and show that L-Equ—the category of L-equilogical spaces—is also cartesian closed. Then we give two categories which are equivalent to L-Equ. Finally, we show that there is a pair of adjoint functors between the category of L-fuzzy assemblies and the category of L-generalized convergence spaces. Further, we construct two subcategories of L-fuzzy assemblies satisfying certain conditions, which are equivalent to the category of L-Kent convergence spaces and the category of L-limit spaces, respectively.
框值装配及其应用
本文的目的是利用模糊域理论研究当真值表L是一个坐标系时,包含分层L拓扑空间范畴的笛卡尔闭范畴。首先,我们引入了L-fuzzy集合的概念,并证明了L-fuzzy集合的范畴l - fassm是笛卡尔闭的。L-FAssm包含分层l拓扑空间的范畴作为一个完整的忠实子范畴。其次,通过给分层t0 - l拓扑空间赋予等价关系,引入l -等价空间的概念,证明l -等价空间的范畴l -等价也是笛卡尔闭的。然后我们给出两个等价于l -等式的范畴。最后,我们证明了l -模糊集合的范畴与l -广义收敛空间的范畴之间存在一对伴随函子。进一步构造了满足一定条件的L-fuzzy集合的两个子范畴,它们分别等价于L-Kent收敛空间的范畴和l -极限空间的范畴。
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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.
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