Topology on residuated lattices for biresiduum-based continuity of fuzzy sets

IF 3.2 1区 数学 Q2 COMPUTER SCIENCE, THEORY & METHODS Fuzzy Sets and Systems Pub Date : 2024-09-19 DOI:10.1016/j.fss.2024.109133
Michal Krupka
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Abstract

By continuity of [0,1]-valued fuzzy set it is usually understood standard continuity of a real-valued function. This could be in conflict with the similarity fuzzy relation on [0,1] given by the operation of biresiduum induced by a left-continuous t-norm. In this work, a new kind of continuity, called t-continuity, of an L-set in a topological space for L being a complete residuated lattice of finite dimension is defined. It is based on a notion of oscillation of L-set, which is an element of L computed by means of biresiduum in L. A topology on L of this continuity, called the t-topology on L, is found. This topology is constructed by means of biresiduum and a variant of Scott-open sets called residuated Scott-open sets. It is shown that the t-topology of L is Hausdorff and that L together with its t-topology is a topological residuated lattice. T-topologies of four standard t-norms are found. The notion of t-topology is generalized to sets with L-equivalence relation and a new characteristic of extensional sets implying that extensional L-sets are t-continuous is given.
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基于双真空的模糊集连续性的残差网格拓扑学
通常,[0,1]值模糊集的连续性被理解为实值函数的标准连续性。这可能与由左连续 t 准则引起的双连续操作给出的 [0,1] 上的相似性模糊关系相冲突。本文定义了拓扑空间中 L 集的一种新连续性,称为 t 连续性,因为 L 是有限维度的完整残差网格。它基于 L 集振荡的概念,L 集振荡是通过 L 中的双真空计算的 L 元素。这种拓扑结构是通过双真空和斯科特开集的一种变体(称为残余斯科特开集)构建的。研究表明,L 的 t 拓扑是 Hausdorff 的,L 连同其 t 拓扑是一个拓扑残差网格。还发现了四种标准 t-norm 的 t 拓扑。t 拓扑的概念被推广到具有 L 等价关系的集合,并给出了扩展集合的一个新特征,暗示扩展 L 集合是 t 连续的。
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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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