Investigate the Reason for Students’ Absenteeism in Engineering College in Fuzzy MCDM Environment

Sukarna Dey Mondal (), Dipendra Nath Ghosh and Pabitra Kumar Dey
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Sukarna Dey Mondal: Dr. B.C. Roy Engineering College
Dipendra Nath Ghosh: Kazi Nazrul University
Pabitra Kumar Dey: Dr. B.C. Roy Engineering College

Chapter Chapter 2 in Applications of Operational Research in Business and Industries, 2023, pp 21-34 from Springer

Abstract: Abstract For the progress of any nation, education system always plays a dynamic role. Best academic institutes are national assets, and students are major assets of any institute. However, today’s students are less focused on their studies. As an effect, they are avoiding their important classes due to various reasons. A huge number of students are absent from class which may be destroyed their careers. These are the well-known images of the school and colleges. When a student is frequently absent from class, it has an unfavorable outcome on their academic performance and a few must repeat a grade level. Therefore, it is critical to conduct research that will point the way to understand the key that minimizes student absenteeism. So, an effort was made here to assess some criteria and sub-criteria using analytical hierarchy process (AHP) and techniques for order preference by similarity to ideal solution (TOPSIS) in Type 1 interval fuzzy (T1-IF) and Type 2 interval fuzzy (T2-IF) atmospheres for alternative ranking that depicts student absenteeism, as well as to make comparisons of T1-IF set and T2-IF set. In the end, the group decision-making (GDM) method is used. Questionnaire sessions are used to identify the major causes of student absenteeism. Finally, the outcome of the study builds a more practical way out to acknowledge the actual alternative which eradicates student absenteeism according to pre-assigned criteria and sub-criteria.

Keywords: Student’s absenteeism; T1-IF set; T2-IF set; AHP; TOPSIS; GDM method; Spearman’s rank correlation coefficient (SRCC) (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/978-981-19-8012-1_2

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