MCDM technique application to the selection of an Indian institute of technology

  • Tapas Kumar Biswas Department of Automobile Engineering, MCKV Institute of Engineering, India
  • Sudipto Chaki Department of Automobile Engineering, MCKV Institute of Engineering, India
  • Manik Chandra Das Department of Automobile Engineering, MCKV Institute of Engineering, India
Keywords: IIT, entropy, MCDM, modified Simple Additive Weighting (SAW), sensitivity analysis


Multi-criteria decision-making (MCDM) techniques are widely used in selecting the best alternative amongst a number of alternatives. In this paper, the quality of the operation of seven newly-established Indian institutes of technology (IITs) in India is analyzed by using the modified Simple Additive Weighting (SAW) method to subsequently rank them. The entropy method is used to determine the weights associated with the criteria under study. The criteria considered for the analysis are as follows: the percentage of vacant seats during student intake, the strength of the faculty, research publications, the sponsored research fund, the student success index, the number of the students who are employed through the placement cell, the number of the students who opted for higher studies and the number of PhDs awarded, respectively. The performance of this method is further compared with the MOORA, TOPSIS and COPRAS methods; the results obtained are found to corroborate well with those obtained by the modified approach. Furthermore, a sensitivity analysis is conducted by changing the criteria weights so as to establish the stability of the ranking obtained. IIT G is considered to have a better performance in all the methods than the other IITs do. This research has shown that the modified SAW is a useful and reliable tool for normal decision-making.


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Biswas, T & Saha, P. (2019). Selection of commercially available scooters by new MCDM method. International Journal of Data and Network Science, 3(2), 137-144.
Brans, J.P., & Vincke, P. (1985). A preference ranking organisation method: the PROMETHEE method for MCDM. Management Science, 31(6), 647–656.
Brauers, WKM., & Zavadskas, EK. (2006). The MOORA method and its application to privatization in a transition economy. Control Cybern, 35, 445–469.
Charnes, A., Cooper, W. W., & Rhodes, E. L. (1978). Measuring the efficiency of decision making units. Eur. J. Oper. Res. 2, 429–444 (1978).
Das, M.C., Sarkar, B., Ray, S. (2010). Performance evaluation of Indian technical institutions using fuzzy-AHP technique. Ind. J. Tech. Educ. 33/3, 86–94.
Das, M.C., Sarkar, B., & Ray, S. (2012). A framework to measure relative performance of Indian technical institutions using integrated fuzzy AHP and COPRAS methodology. Socio-Economic Planning Sciences, 46(3), 230-241.
Das, M.C., Sarkar, B., & Ray, S. (2013). On the performance of Indian technical institutions: a combined SOWIA-MOORA approach. OPSEARCH, 50(3), 319- 333.
Nishy, P., Panwar, Y., Prasad, S., Mandal, G. K. & Prathap, G. (2012). An impact citations exergy (iCX) trajectory analysis of leading research institutions in India.Scientometrics, 91(1), 245–251.
Prathap, G., & Gupta, B. M. (2009). Ranking of Indian engineering and technological institutes for their research performance during 1999–2008.Curr. Sci., 97(3), 304–306.
Prathap, G. (2013). Benchmarking research performance of the IITs using WoSandScopus bibliometric databases.Curr. Sci., 105 (8), 1134–1138.
Prathap, G. (2014). The performance of research-intensive higher educational institutions in India.Curr. Sci., 107(3), 389–396.
Safari, H., Fagheyi, M.S., Ahangari, S.S. &Fathi, M.R. (2012). Applying POMETHEE Method based on Entropy Weight for Supplier Selection. Business Management and Strategy, 3(1), ISSN 2157-6068.
Tyagi, P., Yadav, S.P. & Singh, S.P. (2009). Relative performance of academic departments using DEA with sensitivity analysis. Evaluation and Program Planning, 32(2), 168-177.
Wang, Y. M., & Elhag, T. M. S. (2006). Fuzzy TOPSIS method based on alpha level sets with an application to bridge risk assessment. Expert Systems with Applications.
How to Cite
Biswas, T. K., Chaki, S., & Das, M. C. (2019). MCDM technique application to the selection of an Indian institute of technology. Operational Research in Engineering Sciences: Theory and Applications, 2(3), 65-76.