Sustainability Challenges for Non-Governmental Funded Higher Educational Institutions: A q-rung Orthopair Fuzzy Sets Coupled MCDM Approach

Tripti Basuri; Kamal Hossain Gazi; Prodip Bhaduri; Srabani Guria Das; Sankar Prasad Mondal

doi:10.67334/cds202630

Authors

Tripti Basuri Department of Applied Mathematics, Maulana Abul Kalam Azad University of Technology, West Bengal, Nadia, West Bengal, India Author https://orcid.org/0009-0001-8701-9040
Kamal Hossain Gazi Department of Applied Mathematics, Maulana Abul Kalam Azad University of Technology, West Bengal, Nadia, West Bengal, India Author https://orcid.org/0000-0001-7179-984X
Prodip Bhaduri Department of Applied Mathematics, Maulana Abul Kalam Azad University of Technology, West Bengal, Nadia, West Bengal, India Author https://orcid.org/0009-0003-5455-8202
Srabani Guria Das Department of Basic Science, NSHM Knowledge Campus, Durgapur, West Bengal, India Author https://orcid.org/0000-0001-6055-7407
Sankar Prasad Mondal Department of Applied Mathematics, Maulana Abul Kalam Azad University of Technology, West Bengal, Nadia, West Bengal, India Author https://orcid.org/0000-0003-4690-2598

DOI:

https://doi.org/10.67334/cds202630

Keywords:

Challenges of Non-Government-Funded Higher Educational Institutions, Q-Rung Orthopair Fuzzy Numbers, MEREC, MARCOS

Abstract

Financial aid plays a crucial role in the sustainability and development of higher educational institutions, particularly those operating without governmental funding. This study proposes a decision-making framework for identifying and prioritizing the key challenges faced by non-governmentally funded higher educational institutions. To address this problem, a hybrid Multi-Criteria Decision-Making (MCDM) approach is employed, where the MEREC method is used to determine the weights of evaluation criteria and the MARCOS method is applied to rank the identified challenges. To effectively handle uncertainty and ambiguity in expert judgments, q-Rung Orthopair Fuzzy Numbers (q-ROFNs) are integrated into the framework. Furthermore, sensitivity analysis is conducted to assess the robustness and reliability of the obtained results under different conditions. The results reveal the most influential challenges affecting the financial sustainability and operational performance of these institutions, providing valuable insights for strategic decision-making. In addition, the proposed framework offers a systematic and flexible tool that can be adapted to similar decision-making problems in the education sector. Overall, the q-ROF-MEREC-MARCOS framework supports policymakers, institutional administrators, and stakeholders in developing effective strategies for enhancing the resilience and sustainable growth of non-governmentally funded higher educational institutions.

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