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A Hybrid Multiattribute Decision Making Model for Evaluating Students’ Satisfaction towards Hostels

机译：评估学生对宿舍满意度的混合多属性决策模型

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摘要

This paper proposes a new hybrid multiattribute decision making (MADM) model which deals with the interactions that usually exist between hostel attributes in the process of measuring the students’ satisfaction towards a set of hostels and identifying the optimal strategies for enhancing their satisfaction. The model uses systematic random stratified sampling approach for data collection purpose as students dwelling in hostels are “naturally” clustered by block and gender, factor analysis for extracting large set of hostel attributes into fewer independent factors,λ-measure for characterizing the interactions shared by the attributes within each factor, Choquet integral for aggregating the interactive performance scores within each factor, Mikhailov’s fuzzy analytical hierarchy process (MFAHP) for determining the weights of independent factors, and simple weighted average (SWA) operator to measure the overall satisfaction score of each hostel. A real evaluation involving fourteen Universiti Utara Malaysia (UUM) hostels was carried out in order to demonstrate the model’s feasibility. The same evaluation was performed using an additive aggregation model in order to illustrate the effects of ignoring the interactions shared by attributes in hostel satisfaction analysis.
机译：本文提出了一种新的混合多属性决策（MADM）模型，该模型处理在评估学生对一组宿舍的满意度并确定提高其满意度的最佳策略的过程中，宿舍属性之间通常存在的相互作用。该模型使用系统的随机分层抽样方法进行数据收集，因为居住在宿舍中的学生按性别和性别进行“自然”聚类，采用因素分析将大量宿舍属性提取为较少的独立因素，使用λ度量来表征共享的互动每个因素中的属性，Choquet积分（用于汇总每个因素中的交互性能得分），Mikhailov的模糊分析层次过程（MFAHP）（用于确定独立因素的权重）以及简单加权平均（SWA）运算符来衡量每个因素的总体满意度旅馆。为了证明该模型的可行性，对14个马来西亚乌塔拉大学（UUM）旅馆进行了真实评估。为了说明在宿舍满意度分析中忽略属性共享的相互作用的影响，使用了加性聚集模型进行了相同的评估。

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