基于熵权技术的COPRAS与EDAS相结合的电动轮椅优化选择

IF 1.4 Q3 OPERATIONS RESEARCH & MANAGEMENT SCIENCE
S. K. Sahoo, B. B. Choudhury
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引用次数: 9

摘要

在资源匮乏的情况下,为残疾人购买最好的电动轮椅(EPWC)的决定是非常困难的,无论是基于经济情况还是基于医疗解决方案的可用性。该研究的目的是评估市场上可用的EPWC选项,重点关注一系列相互冲突的标准。本研究采用三种多准则决策方法进行决策。采用熵值法计算各参数的权重,采用COPRAS和EDAS方法对备选方案进行评价和排序。分别应用COPRAS和EDAS对所选轮椅模型进行排序,并对成本准则进行敏感性分析,以检验所选方法的稳健性。结果表明,对于两种方法,EPWC-1是最优先购买的模型,EPWC-7是COPRAS最差的模型,EPWC-10是EDAS最差的模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal selection of an electric power wheelchair using an integrated COPRAS and EDAS approach based on Entropy weighting technique
The decision to purchase the best available electric power wheelchair (EPWC) for a person with a disability in a low-resource context is very stressful, whether it is based on financial circumstances or the availability of medical solutions. The study's objective is to assess the EPWC options available on the market, focused on a set of conflicting criteria. In this research, three multi-criteria decision-making (MCDM) approaches are used to make decisions. ENTROPY method for weightage calculation of various parameters, COPRAS and EDAS methods for evaluating and ranking alternatives are applied. Both COPRAS and EDAS are applied separately for ranking of selected wheelchair models, and to check the robustness of the applied method, sensitivity analysis on cost criterion is carried out. The result shows that for both methods, EPWC-1 is the top priority model to buy, whereas EPWC-7 is the worst model for COPRAS, and EPWC-10 is the worst model for EDAS among the ten alternatives.
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来源期刊
Decision Science Letters
Decision Science Letters Decision Sciences-Decision Sciences (all)
CiteScore
3.40
自引率
5.30%
发文量
49
审稿时长
20 weeks
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