二元直觉模糊语言收益的矩阵对策

IF 1.9 4区 数学 Q1 MATHEMATICS
R. Verma, A. Aggarwal
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引用次数: 9

摘要

在现实世界的决策问题中,专家通常更喜欢用自然语言而不是精确的数字形式来表达他们对问题参数的看法。语言表征模型已被广泛用于解决许多定性信息决策问题。博弈论在许多领域都得到了成功的应用。本文对具有定性收益的矩阵对策进行了广泛的研究。该工作使用二元直觉模糊语言值(2- tiflv)来表示矩阵博弈的收益。我们发展了用2- tiflv表示收益的矩阵对策的数学公式和解的概念。本文还证明了具有2- tiflv收益的矩阵对策可以通过变换一对线性/非线性规划问题的矩阵对策得到解。最后,给出了一个实际的数值例子来说明所提出的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On matrix games with 2-tuple intuitionistic fuzzy linguistic payoffs
In real-world decision-making problems, experts often prefer to express their views, regarding problem parameters, in a natural language rather than precise numerical form. Linguistic representation models have been widely used to solve many decision-making problems with qualitative information. Game theory has been found successful applications in a wide range of areas. This paper presents an extensive study of matrix games with qualitative payoffs. The work uses 2-tuple intuitionistic fuzzy linguistic values (2-TIFLVs) to represent the payoffs of the matrix game. We develop the mathematical formulation and concepts of the solutions for matrix games with payoffs represented by 2-TIFLVs. Paper also shows that matrix games with payoffs of 2-TIFLVs have solutions that can be obtained by transforming the matrix game in a pair of linear/nonlinear programming problems. Finally, a real-life numerical is given to illustrate the developed method.
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来源期刊
CiteScore
3.50
自引率
16.70%
发文量
0
期刊介绍: The two-monthly Iranian Journal of Fuzzy Systems (IJFS) aims to provide an international forum for refereed original research works in the theory and applications of fuzzy sets and systems in the areas of foundations, pure mathematics, artificial intelligence, control, robotics, data analysis, data mining, decision making, finance and management, information systems, operations research, pattern recognition and image processing, soft computing and uncertainty modeling. Manuscripts submitted to the IJFS must be original unpublished work and should not be in consideration for publication elsewhere.
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