Maximum-interval solutions of the given solution for system of addition-min fuzzy relational inequalities

IF 3.2 1区 数学 Q2 COMPUTER SCIENCE, THEORY & METHODS
Yan-Kuen Wu , Ching-Feng Wen , Yuan-Teng Hsu
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引用次数: 0

Abstract

For a given solution to the addition-min fuzzy relational inequalities (FRIs) system, the maximum amplitude (the largest possible deviation from the given solution) and maximum-amplitude solution are proposed to measure its stability. In this paper, we formulate a single-variable optimization model and present some properties to the maximum amplitude. Based on these properties, an algorithm is proposed, which can quickly obtain the maximum amplitude and maximum-amplitude solution of the problem without decomposing the system into multiple subproblems. Additionally, the minimal solution associated with the maximum-amplitude solution can be derived by using the existing algorithm. By examining the relationship between the obtained minimal solution and the given solution, we are able to derive the maximum-interval solution. This maximum-interval solution is generally more “stable” than the maximum-amplitude solution for the addition-min FRIs system.
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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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