A unified framework of fuzzy implications and coimplications

IF 3.2 1区 数学 Q2 COMPUTER SCIENCE, THEORY & METHODS Fuzzy Sets and Systems Pub Date : 2024-03-29 DOI:10.1016/j.fss.2024.108962
Yifan Zhao, Hua-Wen Liu
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Abstract

Fuzzy implications and coimplications play important roles in both theoretic and applied communities of fuzzy set theory. In this paper, we provide a unified framework for fuzzy implications and coimplications. Specifically, firstly, we introduce the concept of uni-implications, which is the unification of fuzzy implications and coimplications, and describe the structure of uni-implications. Secondly, we discuss the relationships among uni-implications, fuzzy boundary weak implications and fuzzy (co)implications. Thirdly, we present two constructions and equivalent characterizations of non-trivial uni-implications, respectively. Finally, we propose two binary operations , on some subset of the set of non-trivial uni-implications, denoted by FSNT, which make (FSNT,) a semigroup and (FSNT,) a non-commutative and non-idempotent monoid.

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模糊影响和共同影响的统一框架
模糊蕴涵和共蕴涵在模糊集合论的理论和应用领域都发挥着重要作用。本文为模糊蕴涵和共蕴涵提供了一个统一的框架。具体来说,首先,我们引入了统一蕴涵的概念,即模糊蕴涵和共蕴涵的统一,并描述了统一蕴涵的结构。其次,我们讨论了单蕴涵、模糊边界弱蕴涵和模糊(共)蕴涵之间的关系。第三,我们分别提出了非三重单蕴涵的两种构造和等价特征。最后,我们提出了对非三重单蕴和集合的某个子集的两个二元运算 ♠,♡,用 FSNT 表示,这使得 (FSNT,♠) 成为一个半群,而 (FSNT,♡) 成为一个非交换和非幂等的单元。
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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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