Evaluation of student's university selection decision making using an instilled fuzzy AHP approach

Neha Gupta, Mohini Agarwal, Pratibha Garg
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引用次数: 1

Abstract

The purpose of this study is to identify and rank the potential factors that can benefit the students in making an optimal decision for university selection in learning process. To achieve this purpose, informational architype, along with the questionnaire, was circulated, which was followed by analysing the responses. For the data collection purpose, a structured questionnaire was constructed, and responses of 100 prospective students of Indian origin who are likely to take admission in universities were recorded. After reviewing the literature, six prominent factors have been considered, and AHP followed by FAHP techniques have been employed for computing weights corresponding to assumed factors. The results indicated that the highest weightage had been given to location followed by fee structure in both the cases. Further, utility theory has been used, which shows the superiority of FAHP over AHP analysis.
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基于模糊层次分析法的大学生择校决策评价
本研究的目的在于找出学生在学习过程中,可能对其大学选择有利的因素,并对其进行排序。为了达到这一目的,分发了资料格式和调查表,然后对答复进行分析。为了收集数据,我们构建了一份结构化的问卷,记录了100名可能被大学录取的印度裔学生的回答。在回顾文献后,考虑了六个突出的因素,并采用AHP和FAHP技术来计算假设因素对应的权重。结果表明,在这两种情况下,地点的权重最高,其次是收费结构。进一步,运用了效用理论,显示了FAHP分析相对于AHP分析的优越性。
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来源期刊
International Journal of Operational Research
International Journal of Operational Research Decision Sciences-Management Science and Operations Research
CiteScore
1.50
自引率
0.00%
发文量
57
期刊介绍: IJOR is a fully refereed journal generally covering new theory and application of operations research (OR) techniques and models that include inventory, queuing, transportation, game theory, scheduling, project management, mathematical programming, decision-support systems, multi-criteria decision making, artificial intelligence, neural network, fuzzy logic, expert systems, and simulation. New theories and applications of operations research models are welcome to IJOR. Modelling and optimisation have become an essential function of researchers and practitioners in a networked global economy. New theory development in operations research and their applications in new economy and society have been limited.
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