Citation

James, Nisa and Loganathan, Swetha and Nathan, Robert Jeyakumar and Victor, Vijay and Ng, Poh Kiat (2023) Integrated fuzzy AHP and TOPSIS as innovative student selection methodology at institutions of higher learning. Human Systems Management, 42 (2). pp. 179-191. ISSN 0167-2533

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Abstract

The selection of students at academic institutions has been a challenging affair given multiple criteria that need to be considered by the institution. Additionally, multiple evaluators and decision makers are involved in the student selection process, rendering it inconsistent. The complexity and subjectiveness in such decisions making requires new and innovative approach in order to be more systematic and transparent. OBJECTIVE:This paper presents an innovative methodology for student selection for admission into an Institute of Higher Learning (IHL) using Fuzzy Analytical Hierarchy Process (FAHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Drawing on the success of using these methods in other fields, this study applies the technique and principles on student selection process. METHOD:Fuzzy Analytical Hierarchy Process (FAHP) is used in determining the weights of the criteria by the decision makers which avoids the vagueness and inconsistencies in decision making process and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method ranks finds out the best alternative solution for student selection by calculating the relative closeness from the positive ideal solution. RESULTS AND CONCLUSION:This research finds using the hybrid method is effective in student selection for IHL and makes the process efficient and bias-free. This method can be applied to various fields and uses where multi-criteria decision making is involved.

Item Type:	Article
Uncontrolled Keywords:	Multi-criteria decision-making, student selection, bias-free, education technology
Subjects:	L Education > LB Theory and practice of education > LB2300 Higher Education
Divisions:	Faculty of Business (FOB) Faculty of Engineering and Technology (FET)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	06 Jun 2023 01:58
Last Modified:	06 Jun 2023 01:58
URII:	http://shdl.mmu.edu.my/id/eprint/11470

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