再论 t 准则与 t 准则之间的弱支配关系

IF 3.2 1区 数学 Q2 COMPUTER SCIENCE, THEORY & METHODS
Qiao-Yun Liu , Feng Qin
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引用次数: 0

摘要

两个二元运算之间的弱支配关系是作为支配关系和模块化方程的扩展而引入的。本文继续研究 t-norms 和 t-conorms 之间的弱支配关系。首先,我们提出了零点 t-norm 对连续阿基米德 t-norm 的弱支配性的特征。其次,我们建立了连续 t-norms 对连续 t-norms 的弱支配性的广义充分条件和必要条件。最后,我们通过证明 SM 弱支配任何 t-norm 得到了连续 t-norm 弱支配连续 t-norm 的广义特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The weak dominance between t-norms and t-conorms revisited

The weak dominance relation between two binary operations was introduced as an extension of the dominance relation and the modularity equation. This paper continues the study of the weak dominance between t-norms and t-conorms. First, we present the characterization of the weak dominance of a nilpotent t-norm over a continuous Archimedean t-norm. Second, we establish the generalized sufficient and necessary conditions for the weak dominance of continuous t-norms over continuous t-norms. Finally, we obtain a generalized characterization of a continuous t-conorm weakly dominating a continuous t-norm by showing that SM weakly dominates any t-norm.

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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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