On semi-continuity and continuity of solution maps of parametric generalized multiobjective games in fuzzy environments

IF 2.1 2区 数学 Q1 MATHEMATICS, APPLIED
Nguyen Van Hung
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引用次数: 0

Abstract

The purpose of this article is to study new results on the continuity of solution maps for parametric generalized multiobjective games in fuzzy environments. Firstly, we revisit parametric fuzzy generalized multiobjective games. Secondly, we establish some sufficient conditions for upper semi-continuity, Hausdorff upper semi-continuity, closedness and compactness of solution maps for such problem under suitable conditions. Thirdly, we introduce the auxiliary problem of parametric fuzzy generalized multiobjective games and the concept of strong Ki-convexity of objective functions for these problems. Finally, results on the lower semi-continuity, Hausdorff lower semi-continuity, continuity and Hausdorff continuity of solution maps to parametric generalized multiobjective games in fuzzy environments are established and studied. Many examples are given to illustrate our results.
论模糊环境中参数广义多目标博弈解图的半连续性和连续性
本文旨在研究模糊环境下参数广义多目标博弈解图连续性的新结果。首先,我们重新审视了参数模糊广义多目标博弈。其次,我们建立了在适当条件下此类问题解映射的上半连续性、Hausdorff 上半连续性、封闭性和紧凑性的一些充分条件。第三,我们引入了参数模糊广义多目标博弈的辅助问题,以及这些问题的目标函数的强基凸性概念。最后,建立并研究了模糊环境下参数广义多目标博弈解映射的下半连续性、Hausdorff 下半连续性、连续性和 Hausdorff 连续性等结果。我们列举了许多例子来说明我们的结果。
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来源期刊
CiteScore
5.40
自引率
4.20%
发文量
437
审稿时长
3.0 months
期刊介绍: The Journal of Computational and Applied Mathematics publishes original papers of high scientific value in all areas of computational and applied mathematics. The main interest of the Journal is in papers that describe and analyze new computational techniques for solving scientific or engineering problems. Also the improved analysis, including the effectiveness and applicability, of existing methods and algorithms is of importance. The computational efficiency (e.g. the convergence, stability, accuracy, ...) should be proved and illustrated by nontrivial numerical examples. Papers describing only variants of existing methods, without adding significant new computational properties are not of interest. The audience consists of: applied mathematicians, numerical analysts, computational scientists and engineers.
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