一种优化决策者满意度的单值五边形中性几何规划方法

IF 0.7 Q3 COMPUTER SCIENCE, THEORY & METHODS
Satyabrata Nath, P. Das, P. Debnath
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引用次数: 0

摘要

在任何决策场景中,为决策者实现期望的满意水平被认为是一项具有挑战性的努力,因为过程中的微小修改可能导致不正确的发现和不准确的决策。为了使决策者的满意度最大化,提出了一种基于五边形模糊数的单值中性几何规划模型。决策者通常假定对这些参数是确定的,但实际情况并非如此,因此这些参数被表示为中性模糊值。有了这个策略,决策者能够对每个约束实现不同程度的满意和不满意,甚至对某些约束完全满意。在这里,决策者的目标是实现最大程度的满意度,同时保持犹豫的水平,并尽量减少不满,以保留最佳解决方案。此外,将目标函数转换为约束,为n维多参数化和多参数化问题增加了一层。通过数值算例证明了该多参数化方法相对于现有方法的优越性。Keywords-Decision制作;五边形嗜中性数;单值嗜中性几何规划;不确定型编程
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Single-valued Pentagonal Neutrosophic Geometric Programming Approach to Optimize Decision Maker’s Satisfaction Level
Achieving the desired level of satisfaction for a decision-maker in any decision-making scenario is considered a challenging endeavor because minor modifications in the process might lead to incorrect findings and inaccurate decisions. In order to maximize the decision-maker’s satisfaction, this paper proposes a Single-valued Neutrosophic Geometric Programming model based on pentagonal fuzzy numbers. The decision-maker is typically assumed to be certain of the parameters, but in reality, this is not the case, hence the parameters are presented as neutrosophic fuzzy values. The decision-maker, with this strategy, is able to achieve varying levels of satisfaction and dissatisfaction for each constraint and even complete satisfaction for certain constraints. Here the decision maker aims to achieve the maximum level of satisfaction while maintaining the level of hesitation and minimizing dissatisfaction in order to retain an optimum solution. Furthermore, transforming the objective function into a constraint adds one more layer to the Ndimensional multi-parametrizes and . The advantages of this multi-parametrized proposed method over the existing ones are proven using numerical examples. Keywords—Decision making; pentagonal neutrosophic numbers; single-valued neutrosophic geometric programming; multi-parametric programming
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来源期刊
CiteScore
2.30
自引率
22.20%
发文量
519
期刊介绍: IJACSA is a scholarly computer science journal representing the best in research. Its mission is to provide an outlet for quality research to be publicised and published to a global audience. The journal aims to publish papers selected through rigorous double-blind peer review to ensure originality, timeliness, relevance, and readability. In sync with the Journal''s vision "to be a respected publication that publishes peer reviewed research articles, as well as review and survey papers contributed by International community of Authors", we have drawn reviewers and editors from Institutions and Universities across the globe. A double blind peer review process is conducted to ensure that we retain high standards. At IJACSA, we stand strong because we know that global challenges make way for new innovations, new ways and new talent. International Journal of Advanced Computer Science and Applications publishes carefully refereed research, review and survey papers which offer a significant contribution to the computer science literature, and which are of interest to a wide audience. Coverage extends to all main-stream branches of computer science and related applications
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