The 2-additive decomposition integrals and their applications

IF 3.2 1区 数学 Q2 COMPUTER SCIENCE, THEORY & METHODS
Radko Mesiar , Jabbar Abbas , Jun Li
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引用次数: 0

Abstract

Decomposition integral with respect to a capacity (monotone measure) is a common framework for unifying some nonlinear integrals, such as the Choquet, the Shilkret, the PAN, the PC, and the concave integrals. The formula of decomposition integral concerning capacities depends on the distinguished decomposition system under some constraints on the sets being considered for each related integral. The Möbius representation of a monotone set function is a fundamental concept permitting the derivation of simple expressions of nonlinear integrals. In this paper, we propose Möbius representation of some decomposition integrals based on Lovász idea of an extension of pseudo-boolean functions for the decomposition systems to get different types of decomposition integrals. Then, we introduce a new type of integral to unify the Choquet, Shilkret, PAN, and PC integrals in terms of the Möbius transform. Consequently, we then propose the expressions of computing decomposition integrals concerning a 2-additive capacity. Finally, an illustrative example is used to demonstrate the applicability of the proposed results and simplicity of computing the 2-additive decomposition integrals.
2加性分解积分及其应用
关于容量(单调测度)的分解积分是统一一些非线性积分的常用框架,如Choquet、Shilkret、PAN、PC和凹积分。关于容量的分解积分公式依赖于每个相关积分在给定集合约束下的区分分解系统。单调集合函数的Möbius表示是一个基本概念,允许推导非线性积分的简单表达式。本文基于Lovász分解系统伪布尔函数的扩展思想,提出了一些分解积分的Möbius表示,以得到不同类型的分解积分。然后,我们引入了一种新的积分类型,将Choquet、Shilkret、PAN和PC积分用Möbius变换统一起来。因此,我们提出了计算2-可加能力分解积分的表达式。最后,通过一个实例说明了所提结果的适用性和计算2加性分解积分的简洁性。
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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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