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Fusion of BWM and AHP MCDM Methods to Choose the Most Suitable Secondary School for an Individual in the Context of Bangladesh

机译:BWM和AHP MCDM方法的融合为孟加拉国的个人选择最适合的中学

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Choosing the best schools from a group of schools is a multi-criteria decision-making (MCDM) problem. In this paper, we have represented a method that uses the fusion of two multi-criteria decision-making methods, Best–Worst Method (BWM) and Analytic Hierarchy Process (AHP), to rank some of the user preferred alternatives. The system considers the choice of the user and the quality of the alternatives to rank them. User preferences on the criteria are taken as inputs in the form of best–worst comparison vectors to measure the choice of the user. These values are applied to calculate the numeric weights of each of the criteria. These weights reflect the preference of the user. A dataset of secondary schools in Bangladesh has been compiled and used for automatic quantitative pairwise comparison on the alternatives to calculate the score of each alternative in every criterion, which reflects its quality in that criterion. These scores are calculated using AHP.?The weights of the criteria as well as the scores of these alternatives in those criteria are then used to calculate the final score of the alternatives and to rank them accordingly. An extensive experimental analysis and comparative study is reported at the end of this paper.
机译:从一组学校中选择最好的学校是一个多标准决策(MCDM)问题。在本文中,我们介绍了一种方法,该方法结合了两种最严格的决策方法(最佳-最差方法(BWM)和层次分析方法(AHP)),对一些用户首选的方法进行了排名。系统考虑用户的选择以及对他们进行排名的备选方案的质量。用户对标准的偏好将以最佳-最差比较向量的形式作为输入,以衡量用户的选择。这些值将用于计算每个标准的数字权重。这些权重反映了用户的偏好。已汇编了孟加拉国的中学数据集,并将其用于替代方案的自动定量成对比较,以计算每个标准中每个替代方案的得分,这反映了该标准的质量。这些分数使用AHP计算。标准的权重以及这些标准中这些替代方案的得分随后用于计算替代方案的最终得分,并对它们进行相应排名。本文末尾进行了广泛的实验分析和比较研究。

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