受加-卢卡西维茨模糊关系不等式制约的最小编程问题及其最优解

IF 3.2 1区 数学 Q2 COMPUTER SCIENCE, THEORY & METHODS
Xue-ping Wang, Meng Li, Qian-yu Shu
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引用次数: 0

摘要

本文主要研究受加-卢卡西维茨模糊关系不等式约束的最小极限编程问题。我们首先建立了模糊关系不等式解为最小解的两个必要条件和充分条件,并探讨了唯一最小解的存在条件。然后,我们提供了一种从给定解开始获取某些极小解的算法,并将极小解应用于最小极限编程问题,以寻找最优解。我们还提供了两种算法,用于求解一种单变量优化问题并得到最大最优解。找到给定解的一些最小解的算法也用于搜索一些最小最优解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Minimax programming problems subject to addition-Łukasiewicz fuzzy relational inequalities and their optimal solutions

This article focuses on minimax programming problems subject to addition-Łukasiewicz fuzzy relational inequalities. We first establish two necessary and sufficient conditions for a solution of the fuzzy relational inequalities being a minimal one and explore the existence condition of the unique minimal solution. We then supply an algorithm for obtaining some minimal solutions starting from a given one and apply minimal solutions to the minimax programming problems for searching optimal solutions. We also provide two algorithms for solving a kind of single variable optimization problems and get the greatest optimal solution. The algorithm for finding some minimal solutions of a given one is also used for searching some minimal optimal solutions.

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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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