Perception based performance analysis of higher education institutions: a soft computing approach

In the tertiary education institutions, rankings have started gaining ample attention all over the world. This has created a profound impact on the indian higher education system. As a result of that, in 2015, the government of India announced National institutional ranking framework (NIRF) to rank...

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Bibliographic Details
Published in:Soft computing (Berlin, Germany) Germany), 2020, Vol.24 (1), p.513-521
Main Authors: Srinivasan, R., Jain, Vidyottama, Dharmaraja, S.
Format: Article
Language:English
Subjects:
Artificial Intelligence
Computational Intelligence
Control
Criteria
Data envelopment analysis
Decision making
Efficiency
Engineering
Expenditures
Fuzzy sets
Higher education
Higher education institutions
Literature reviews
Mathematical Logic and Foundations
Mathematical models
Mechatronics
Methodologies and Application
Methods
Parameters
Perception
Ranking
Robotics
Set theory
Soft computing
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Summary:In the tertiary education institutions, rankings have started gaining ample attention all over the world. This has created a profound impact on the indian higher education system. As a result of that, in 2015, the government of India announced National institutional ranking framework (NIRF) to rank the indian institutions. NIRF is based on multiple parameters which are evaluated by standardised survey. In this work, a mathematical model, which can handle such multiple parameters to rank higher education institutions (HEIs), has been proposed. In this model, six criteria, named as, student intake, faculty strength, expenditure of the institution, research paper published per faculty, placements and perception, are considered. Since the criterion perception is a qualitative criterion and can not be modelled by classical mathematics, fuzzy rule based inference system is proposed to determine its precise value. Then DEA-Entropy-TOPSIS approach has been employed to rank HEIs. To emphasize the applicability of the proposed method, a numerical illustration is provided. It is asserted that this proposed mathematical model is a unique HEIs ranking approach involving human perception.
ISSN:1432-7643
1433-7479
DOI:10.1007/s00500-019-03931-6