Idempotent pseudo-n-uninorms

IF 2.7 1区 数学 Q2 COMPUTER SCIENCE, THEORY & METHODS Fuzzy Sets and Systems Pub Date : 2025-08-01 Epub Date: 2025-03-26 DOI:10.1016/j.fss.2025.109387
Juraj Kalafut , Andrea Mesiarová-Zemánková
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Abstract

The structure of idempotent pseudo-n-uninorms, non-commutative generalizations of idempotent n-uninorms, is investigated. First, idempotent pseudo-2-uninorms are characterized by their decomposition into an idempotent pseudo-uninorm and a special idempotent pseudo-2-uninorm, for which the division point z is a (left/right) annihilator. These results are then used in characterization of all idempotent pseudo-n-uninorms by decomposition based on their set of left (right) annihilators and Clifford's ordinal sum. The achieved results reveal that the structure of pseudo-n-uninorms is significantly different from that of n-uninorms and general pseudo-n-uninorms cannot be decomposed via z-ordinal sum. These results provide new insights into the nature of non-commutative aggregation functions.
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Idempotent pseudo-n-uninorms
研究了幂等伪n一致子的结构,即幂等n一致子的非交换推广。首先,将幂等伪2-幺正子分解为一个幂等伪幺正子和一个特殊的幂等伪2-幺正子,其中分岔点z是一个(左/右)湮灭子。这些结果随后被用于通过基于它们的左(右)湮灭子集和Clifford序数和的分解来表征所有幂等伪n-一致子。所得结果表明,伪n-一致量的结构与n-一致量的结构有显著的不同,一般的伪n-一致量不能通过z序数和来分解。这些结果为非交换聚合函数的性质提供了新的见解。
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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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