A Multi-Criteria Decision-Making Approach for Piston Material Selection under Single-Valued Trapezoidal Neutrosophic Sets

Ahmed Ali
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引用次数: 2

Abstract

It is one of the most difficult and time-consuming processes to develop and pick an acceptable material for the piston material that has a variety of attributes. Component failure is often caused by inappropriate material at some stage throughout the functioning process. In light of this, the piston material selection is performed in this article. The goal of this work is to found a technique for selecting the material of the piston for a new design engine by using the multi-criteria decision-making (MCDM) approach to find a solution to the issue of choosing the material for the piston. The purpose of the TOPSIS method is to pick the appropriate material for a piston based on the application it will be used in. The TOPSIS technique is stretched under neutrosophic sets to solve the vague and uncertain information in this process. The single-valued trapezoidal neutrosophic sets (SVTNSs) are used in this paper. The SVTNSs is a mixed with the trapezoidal neutrosophic sets (TNSs) and the single-valued neutrosophic sets (SVNSs). There are nine criteria and three alternatives used in this paper. The illustrative example is carried out The sensitivity analysis and comparative study are carried out to display the robustness and efficiency of the suggested model.
单值梯形中性集下活塞材料选择的多准则决策方法
对于具有多种属性的活塞材料,开发和选择一种可接受的材料是最困难和最耗时的过程之一。部件失效通常是由于在整个功能过程中的某个阶段材料不合适而引起的。鉴于此,本文进行了活塞材料的选择。本研究的目的是利用多准则决策(MCDM)方法寻找活塞材料选择问题的解决方案,从而找到一种新型发动机活塞材料选择的方法。TOPSIS方法的目的是根据活塞的应用选择合适的材料。将TOPSIS技术扩展到嗜中性集下,以解决这一过程中的模糊和不确定信息。本文采用单值梯形嗜中性集(svtns)。svtns是由梯形嗜中性粒细胞组(tns)和单值嗜中性粒细胞组(SVNSs)混合而成。在本文中有九个标准和三个备选方案。通过实例分析和对比研究,验证了所提模型的鲁棒性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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