基于模糊数分段线性逼近的扩展VIKOR在泰国的助教选择

IF 0.7 Q4 OPERATIONS RESEARCH & MANAGEMENT SCIENCE
Akan Narabin, Phairoj Samutrak
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引用次数: 0

摘要

由于新冠肺炎疫情,泰国一所大学获得助教奖学金的助教职位的选拔需要由组建的委员会在网上进行。由于在线申请过程和大学提供的奖学金数量有限,除了面对面的面试,多标准决策分析可以帮助选择合适的学生。在本研究中,我们使用带有模糊数的扩展VIKOR方法来帮助委员会从申请人中选择学生。标准和标准的权重是在委员会的帮助下提供的。使用梯形和三角形语言变量来寻找解并观察可能结果的范围。通过改变支持群体效用最大化策略的不同权重来检测潜在的备选方案。还将排序结果与从TODIM方法获得的排序结果进行了比较,以说明适当的替代方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Teaching assistant selection in Thailand by using an extended VIKOR based on piecewise linear approximation of fuzzy numbers
Because of the COVID-19 situation, selection for a teaching assistant position to get a TA scholarship in a university in Thailand needs to be performed online by the formed committee. Due to the online process and the limited number of scholarships offered by the university, beyond the face-to-face interview, multiple-criteria decision analysis can help to select a proper student. In this study, we use the extended VIKOR method with fuzzy numbers to help committees to select the students from the applicants. The criteria and the weights of the criteria are provided with the help of committees. Both trapezoidal and triangular linguistic variables are used to find the solution and to observe the range of the possible result. The different weights supporting the strategy of maximum group utility are varied to detect the potential alternatives. The ranking results are also compared with the one obtained from the TODIM approach to illustrate the appropriate alternative.
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来源期刊
Operations Research and Decisions
Operations Research and Decisions OPERATIONS RESEARCH & MANAGEMENT SCIENCE-
CiteScore
1.00
自引率
25.00%
发文量
16
审稿时长
15 weeks
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