General ordinal sums of (pseudo-quasi) overlap and grouping functions

IF 2.7 1区 数学 Q2 COMPUTER SCIENCE, THEORY & METHODS
Fuzzy Sets and Systems Pub Date : 2026-06-15 Epub Date: 2026-02-19 DOI:10.1016/j.fss.2026.109824
Ting-hai Zhang , Feng Qin , Jie Wan , Wenhuang Li
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引用次数: 0

Abstract

In this work, we extend the existing ordinal sum constructions of fuzzy negations and fuzzy Sheffer strokes, which are based on the standard negation, to general ordinal sum structures derived from arbitrary negations. We also establish equivalent characterizations of their fundamental properties. Building upon this foundation and leveraging the completeness of the fuzzy Sheffer stroke, which provides a robust theoretical basis for designing fuzzy logic operators, we construct general ordinal sum structures for overlap (grouping) functions and pseudo-quasi overlap (grouping) functions. In these novel constructions, the range of function values within each summand interval is extended from the summand interval itself to an interval determined jointly by the summand interval and an arbitrary automorphism or quasi automorphism. Similarly, the function values outside the summand intervals are generalized from the identity mapping to an automorphism or quasi automorphism on [0,1]. This approach not only generalizes the existing corresponding ordinal sum structures but also substantially broadens their scope, thereby offering new perspectives for developing richer and more flexible ordinal sum constructions for other fuzzy logic operators.
(伪拟)重叠和群函数的一般序数和
在这项工作中,我们将现有的基于标准否定的模糊否定和模糊Sheffer笔画的序和结构推广到由任意否定派生的一般序和结构。我们还建立了它们基本性质的等效表征。在此基础上,利用模糊Sheffer冲程的完备性为模糊逻辑算子的设计提供了稳健的理论基础,构造了重叠(分组)函数和拟重叠(分组)函数的一般序和结构。在这些新的构造中,函数值的范围从和区间本身扩展到由和区间和任意自同构或拟自同构共同确定的区间。同样地,求和区间外的函数值由恒等映射推广到[0,1]上的自同构或拟自同构。该方法不仅推广了现有相应的序和结构,而且大大拓宽了它们的适用范围,从而为其他模糊逻辑算子开发更丰富、更灵活的序和结构提供了新的视角。
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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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