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首页> 外文期刊>Journal of Quality Measurement and Analysis: JQMA >SELECTING STUDENTS FROM LOW INCOME FAMILY USING ANALYTICAL HIERARCHY PROCESS BASED ON LINGUISTIC HEDGES
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SELECTING STUDENTS FROM LOW INCOME FAMILY USING ANALYTICAL HIERARCHY PROCESS BASED ON LINGUISTIC HEDGES

机译：基于语言对冲的分析层次过程选择来自低收入家庭的学生

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摘要

In this paper, we propose a new method for selecting students from low income family, namely Mengubah Destini Anak Bangsa (MDAB) programme by analytical hierarchy process based on linguistic hedges. It focuses on utilising the linguistic hedges for decision-makers (DMs) to make their judgement for weighting purposes. Two linguistic hedges, the concentration and dilation are used to measure the importance of relative weight for each criterion. Meanwhile, the group of DMs viewpoints is used to build the membership functions towards deriving the entire criterion performance scores. Then, the maxmin operator and sorting the results by descending order are applied to determine the best alternative and ranking process, respectively. A numerical example related to Universiti Teknologi MARA (UiTM) MDAB students' selection is presented to demonstrate the applicability of the proposed method. It is found that the method is successful in dealing with situations which are relevant to the university concern, thus can facilitate the DMs to make a decision in a simple and systematic manner.
机译：在本文中，我们提出了一种新的方法，用于通过基于语言对冲的分析层次过程选择来自收入家庭的学生，即Mengubah Destini Anak Bangsa（MDAB）计划。它专注于利用决策者（DMS）的语言对冲，以使其判断为加权目的。两个语言树篱，浓度和扩张用于测量每个标准的相对重量的重要性。同时，DMS视点组用于构建旨在导出整个标准性能分数的隶属函数。然后，应用MAXMIN运算符并通过降序排序结果以分别确定最佳替代和排序过程。提出了与Universiti Teknologi Mara（UITM）MDAB学生选择的数字示例，以证明该方法的适用性。结果发现，该方法在处理与大学关注相关的情况下，因此可以促进DMS以简单和系统的方式作出决定。

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