Prediction of NAAC Grades for Affiliated Institute with the help of Statistical MultiCriteria Decision Analysis


  • Dipendra Nath Ghosh Controller of Examinations, Kazi Nazrul University, Asansol, West Bengal, India


WSM, ENTROPY, TOPSIS, VIKOR, ANOVA, Spearman’s Rank Correlation Coefficient, Group Decision Making, Additive Ranking, Multiplicative Ranking, Least Square Additive Regression method


National Assessment and Accreditation Council is an impartial group of the University Grants Commission (UGC) of India, mounted in 1994. It has taken the duty of assessing and accrediting faculties and universities in India to encourage the instructional surroundings for the development of excellence in teaching, learning, and discovery in superior training. In those missions, NAAC acts a dynamic role. NAAC has been worried about reforming its ongoing Valuation and Certification policies, grounded on its arena, its shared statistics with different International Quality Assurance Agencies, and the best necessities within side the worlds converting the state of affairs over the progressive training development. In this paper, a new mathematical model is developed to explore the NAAC rating of a well-known Engineering College, considering nine more well-known Engineering Colleges. The system is characterized by NAAC Accreditation Criteria using Multi-Criteria Decision Making Methods, Statistics, and Group Decision Making


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How to Cite

S. . DEY MONDAL, D. . Nath Ghosh, and P. . Kumar Dey, “Prediction of NAAC Grades for Affiliated Institute with the help of Statistical MultiCriteria Decision Analysis”, Int J Eng and Appl Phys, vol. 1, no. 2, pp. 116–126, May 2021.