The Preference Selection Index Performance in Large Alternatives’ Decisions to Support the AHP: The Case of a University Selection

Q3 Engineering

Journal of Applied Research and Technology Pub Date : 2023-02-27 DOI:10.22201/icat.24486736e.2023.21.1.1423

M. Obeidat, Wiam Ababneh, Nader Al Theeb

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引用次数: 0

Abstract

Two multi-criteria decision making approaches were implemented in this paper for selecting a U.S. university considering the industrial engineering doctorate degree as a case study. The Preference Selection Index (PSI) and the Analytical Hierarchy Process (AHP) were these approaches. A total of 37 universities and 20 attributes were considered. The attributes were related to the university reputation, location, financial, and ease of admission. In this paper, the PSI model was initially constructed and its results were adopted in the AHP model. Data of this paper were obtained from the US News and World Report, Times Higher Education (THE) and other well-known organizations. Results proved that the PSI approach could be used in decisions with large number of alternatives and attributes, and the PSI model was able in making the AHP model requirements easier, by reducing the criteria and alternatives. In both the PSI and the AHP models, the university reputation had the highest preferences of students, followed by the ease of admission, financial and then location. Sensitivity analyses for the PSI and AHP models were performed to evaluate the accuracy of the results. Results of this study could be applied in other students’ disciplines for finding a suitable university.

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支持AHP的大型备选方案决策中的偏好选择指数表现——以一所大学的选择为例

本文以工业工程博士学位为例，采用两种多标准决策方法选择了一所美国大学。偏好选择指数（PSI）和层次分析法（AHP）就是这些方法。共考虑了37所大学和20个属性。这些特征与大学声誉、地理位置、财务状况和录取容易程度有关。本文初步构建了PSI模型，并将其结果应用于AHP模型中。本文数据来源于《美国新闻与世界报道》、《泰晤士报高等教育》等知名机构。结果证明，PSI方法可以用于具有大量备选方案和属性的决策，并且PSI模型能够通过减少标准和备选方案来简化AHP模型的要求。在PSI和AHP模型中，学生对大学声誉的偏好最高，其次是入学便利性、财务和地点。对PSI和AHP模型进行了敏感性分析，以评估结果的准确性。这项研究的结果可以应用于其他学生的学科，以寻找合适的大学。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Applied Research and Technology 工程技术-工程：电子与电气

CiteScore

1.50

自引率

0.00%

发文量

审稿时长

6-12 weeks

期刊介绍： The Journal of Applied Research and Technology (JART) is a bimonthly open access journal that publishes papers on innovative applications, development of new technologies and efficient solutions in engineering, computing and scientific research. JART publishes manuscripts describing original research, with significant results based on experimental, theoretical and numerical work. The journal does not charge for submission, processing, publication of manuscripts or for color reproduction of photographs. JART classifies research into the following main fields: -Material Science: Biomaterials, carbon, ceramics, composite, metals, polymers, thin films, functional materials and semiconductors. -Computer Science: Computer graphics and visualization, programming, human-computer interaction, neural networks, image processing and software engineering. -Industrial Engineering: Operations research, systems engineering, management science, complex systems and cybernetics applications and information technologies -Electronic Engineering: Solid-state physics, radio engineering, telecommunications, control systems, signal processing, power electronics, electronic devices and circuits and automation. -Instrumentation engineering and science: Measurement devices (pressure, temperature, flow, voltage, frequency etc.), precision engineering, medical devices, instrumentation for education (devices and software), sensor technology, mechatronics and robotics.