A survey on the enumeration of classes of logical connectives and aggregation functions defined on a finite chain, with new results

IF 3.2 1区 数学 Q2 COMPUTER SCIENCE, THEORY & METHODS
Marc Munar , Miguel Couceiro , Sebastia Massanet , Daniel Ruiz-Aguilera
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引用次数: 0

Abstract

The enumeration of logical connectives and aggregation functions defined on a finite chain has been a hot topic in the literature for the last decades. Multiple advantages can be derived from knowing a general formula about their cardinality, for instance, the ability to anticipate the computational cost required for generating operators with different properties. This is of paramount importance in image processing and decision making scenarios, where the identification of the most optimal operator is essential. Furthermore, it facilitates the examination of how constraining a certain property is in relation to its parent class. As a consequence, this paper aims to compile the main existing formulas and the methodologies with which they have been derived. Additionally, we introduce some novel formulas for the number of smooth discrete aggregation functions with neutral element or absorbing element, idempotent conjunctions, and commutative and idempotent conjunctions.

关于枚举定义在有限链上的逻辑连接词和聚合函数类的调查及新结果
过去几十年来,枚举定义在有限链上的逻辑连接词和聚合函数一直是文献中的热门话题。通过了解关于其万有引力的一般公式可以获得多种优势,例如,可以预测生成具有不同属性的算子所需的计算成本。这在图像处理和决策制定场景中至关重要,因为在这些场景中,确定最优算子至关重要。此外,它还有助于研究特定属性与其父类之间的制约关系。因此,本文旨在汇编现有的主要公式及其推导方法。此外,我们还引入了一些新公式,用于计算具有中性元素或吸收元素的光滑离散聚合函数数、幂等连词以及交换和幂等连词。
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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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