The continuous Choquet integral representation theorems in an abstract setting

IF 3.2 1区 数学 Q2 COMPUTER SCIENCE, THEORY & METHODS
Jun Kawabe
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引用次数: 0

Abstract

The purpose of the paper is to formulate Choquet integral representation theorems for a monotone functional on a collection of functions in such a way that the representing measures are simultaneously inner and outer continuous on appropriate collections of sets such as open, closed, compact, and measurable. This type of theorem is referred to as the continuous Choquet integral representation theorem and will be discussed in a setting general enough for practical use. The benefits of our results are as follows:

  • (i)

    the representing measures are simultaneously inner and outer continuous,

  • (ii)

    the collections of sets for which the representing measures are inner and outer continuous are larger than those in previous studies,

  • (iii)

    the regularity of the representing measures is also considered, and

  • (iv)

    it is possible to handle not only σ-continuous but also τ-continuous functionals.

抽象环境中的连续乔凯积分表示定理
本文的目的是为函数集合上的单调函数提出乔克特积分表示定理,使表示度量在适当的集合(如开放集合、封闭集合、紧凑集合和可测集合)上同时具有内连续和外连续性。这类定理被称为连续 Choquet 积分代表定理,我们将在一个足够通用的环境中讨论该定理,以利于实际应用。我们的结果有以下优点:(i) 表示度量同时是内连续和外连续的;(ii) 表示度量是内连续和外连续的集合比以往研究的集合更大;(iii) 表示度量的正则性也被考虑在内;(iv) 不仅可以处理 σ 连续,也可以处理 τ 连续函数。
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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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