How to cite this paper
Das, M., Sarkar, B & Ray, S. (2013). A decision support framework for performance evaluation of Indian technical institutions.Decision Science Letters , 2(4), 257-274.
Refrences
Abbott, M., & Doucouliagos, C. (2003). The efficiency of Australian universities: A data envelopment analysis. Economics of Education Review, 22, 89-97.
Amiri, M., Zandieh, M., Vahdani, B., Soltani, R., & Roshanaei, V. (2010). An integrated eigenvector–DEA–TOPSIS methodology for portfolio risk evaluation in the FOREX spot market. Expert Systems with Applications, 37, 509-516.
Athanassopoulos, A., & Shale, E. (1997). Assessing the comparative efficiency of higher education institutions in the UK by means of data envelopment analysis. Education Economics, 5, 117–134.
Avkiran, N.K. (2001). Investigating technical and scale efficiency of Australian Universities through data envelopment analysis. Socio Economic Planning Sciences, 35, 57–80.
Barros, C.P. (2005). Performance measurement in tax offices with a stochastic frontier model. Journal of Economic Studies, 32, 497–510.
Biswas, G., Chopra, K.L., Jha, C.S., & Singh, D.V. (2010). Profile of Engineering Education in India: Status, Concerns and Recommendations. New Delhi: Narosa Publishing House Pvt. Ltd.
Brauers, W.K.M., & Zavadskas, E.K. (2006). The MOORA method and its application to privatization in a transition economy. Control and Cybernetics, 35, 445-469.
Casu, B., & Thanassoulis, E. (2006). Evaluating cost efficiency in central administrative services in UK universities. Omega, 34, 417-426.
Chang, D.Y. (1996). Applications of the extent analysis method on fuzzy AHP. European Journal of Operations Research, 95, 649–655.
Charnes, A., Cooper, W.W., & Rhodes, E.L. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2, 429–444.
Chen, C.T., Lin, C.T., & Huang, S.F. (2006). A fuzzy approach for supplier evaluation and selection in supply chain management. International Journal of Production Economics, 102, 289–301.
Ertu?rul, ?., & Karaka?o?lu, N. (2007). Performance evaluation of Turkish cement firms with fuzzy analytic hierarchy process and TOPSIS methods. Expert Systems with Applications, 36, 702–715.
Fandel, G. (2007). On the performance of universities in North Rhine-Westphalia, Germany: Government’s redistribution of funds judged using DEA efficiency measures. European Journal of Operational Research, 176, 521-533.
Flegg, A.T., Allen, D.O., Field, K., & Thurlow, T.W. (2004). Measuring the efficiency and productivity of british universities: An application of DEA and the Malmquist approach. Education Economics, 12, 231–249.
Glass, J.C., McKillop, D.G., & Hyndman, N. (1995a). Efficiency in the provision of university teaching and research: An empirical analysis of UK universities. Journal of Applied Econometrics, 10, 61–72.
Glass, J.C., McKillop, D.G., & Hyndman, N. (1995b). The achievement of scale efficiency in UK universities: a multiple-input multiple-output analysis. Education Economics, 3, 249–263.
Hashimoto, K., & Cohn, E. (1997). Economies of scale and scope in Japanese private universities. Education Economics, 5, 107–115.
Herbert, D.T., & Thomas, C.J. (1998). School performance, league tables and social geography. Applied Geography, 18, 199-223.
Ho, W. (2008). Integrated analytic hierarchy process and its applications-A literature review. European Journal of Operational Research, 186, 211-228.
Hwang, C.L., & Yoon, K. (1981). Multiple attribute decision making methods and applications, Berlin Heidelberg: Springer.
Johnes, J. (1996). Performance assessment in higher education in Britain. European Journal of Operational Research, 89, 18–33.
Johnes, J. (2006). Measuring teaching efficiency in higher education: An application of data envelopment analysis to economics graduates from UK Universities 1993. European Journal of Operational Research, 174, 443-456.
Kahraman, C., Beskese, A., & Ruan, D. (2004). Measuring flexibility of computer integrated manufacturing systems using fuzzy cash flow analysis. Information Sciences, 168, 77–94.
Kao, C., & Hung, H.T. (2008). Efficiency analysis of university departments: An empirical study. Omega, 36, 653-664.
Korhonen, P., Tainio, R., & Wallenius, J. (2001). Value efficiency analysis of academic research. European Journal of Operational Research, 130, 121-132.
Lee, S.K., Mogi, G., & Kim, J.W. (2009). Decision support for prioritizing energy technologies against high oil prices: A fuzzy analytic hierarchy process approach. Journal of Loss Prevention in the Process Industries, 22, 915-920.
Liu, F.H.F., & Hai, H.L. (2005). The voting analytic hierarchy process method for selecting supplier. International Journal of Production Economics, 97, 308–317.
McMillan, M.L., & Datta, D. (1998). The relative efficiency of Canadian universities. Canadian Public Policy, 24, 485–511.
Nicholls, M.G., & Cargill, B.J. (2011). Establishing best practice university research funding strategies using mixed-mode modelling. Omega, 39, 214-225.
Noguchi, H., Ogawa, M., & Ishii, H. (2002). The appropriate total ranking method using DEA for multiple categorized purposes. Journal of Computational and Applied Mathematics, 146, 155–166.
?nüt, S., & Soner, S. (2008). Transshipment site selection using the AHP and TOPSIS approaches under fuzzy environment. Waste Management, 28, 1552-1559.
Portela, M.C.A.S., & Thanassoulis, E. (2001). Decomposing school and school-type efficiency. European Journal of Operational Research, 132, 357-373.
Roy, B. (1968). Classement et choix en presence de points de vue multiples. (la methode ELECTRE) R.I.R.O, 8, 57–75.
Saaty, T.L. (1980). The analytic hierarchy process (1st ed.). New York: McGraw-Hill.
Simon, J., Simon, C., & Arias, A. (2011). Changes in productivity of Spanish university libraries. Omega, 39, 578-588.
Tyagi, P., Yadav, S.P., & Singh, S.P. (2009). Relative performance of academic departments using DEA with sensitivity analysis. Evaluation and Program Planning, 32, 168–177.
Wang, T.C., & Chang, T.H. (2007). Application of TOPSIS in evaluating initial training aircraft under a fuzzy environment. Expert Systems with Applications, 33, 870–880.
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, 31, .309–319.
Wang, Y-M., Liu, J., & Elhag, T.M.S. (2008). An integrated AHP–DEA methodology for bridge risk assessment. Computers & Industrial Engineering, 54, 513-525.
Worthington, A.C., & Lee, B.I. (2008). Efficiency, technology and productivity change in Australian Universities, 1998–2003. Economics of Education Review, 27, 285–298.
Xu, Z.S., & Chen, J. (2007). An interactive method for fuzzy multiple attribute group decision making. Information Sciences, 177, 248–263.
Yang, J.B. (2001). Rule and utility based evidential reasoning approach for multiattribute decision analysis under uncertainties. European Journal of Operational Research, 131, 31–61.
Yorke, M. (1997). A good league table guide? Quality Assurance in Education, 5, 61 – 72.
Yorke, M. (1998). The Times’ “league table” of universities, 1997: a statistical appraisal. Quality Assurance in Education, 6, 58 – 60.
Zadeh, L.A. (1965). Fuzzy sets. Information Control, 8, 338–353.
Zimmerman, H.J. (1996). Fuzzy sets theory and its applications. Boston: Kluwer Academic Publishers.
Amiri, M., Zandieh, M., Vahdani, B., Soltani, R., & Roshanaei, V. (2010). An integrated eigenvector–DEA–TOPSIS methodology for portfolio risk evaluation in the FOREX spot market. Expert Systems with Applications, 37, 509-516.
Athanassopoulos, A., & Shale, E. (1997). Assessing the comparative efficiency of higher education institutions in the UK by means of data envelopment analysis. Education Economics, 5, 117–134.
Avkiran, N.K. (2001). Investigating technical and scale efficiency of Australian Universities through data envelopment analysis. Socio Economic Planning Sciences, 35, 57–80.
Barros, C.P. (2005). Performance measurement in tax offices with a stochastic frontier model. Journal of Economic Studies, 32, 497–510.
Biswas, G., Chopra, K.L., Jha, C.S., & Singh, D.V. (2010). Profile of Engineering Education in India: Status, Concerns and Recommendations. New Delhi: Narosa Publishing House Pvt. Ltd.
Brauers, W.K.M., & Zavadskas, E.K. (2006). The MOORA method and its application to privatization in a transition economy. Control and Cybernetics, 35, 445-469.
Casu, B., & Thanassoulis, E. (2006). Evaluating cost efficiency in central administrative services in UK universities. Omega, 34, 417-426.
Chang, D.Y. (1996). Applications of the extent analysis method on fuzzy AHP. European Journal of Operations Research, 95, 649–655.
Charnes, A., Cooper, W.W., & Rhodes, E.L. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2, 429–444.
Chen, C.T., Lin, C.T., & Huang, S.F. (2006). A fuzzy approach for supplier evaluation and selection in supply chain management. International Journal of Production Economics, 102, 289–301.
Ertu?rul, ?., & Karaka?o?lu, N. (2007). Performance evaluation of Turkish cement firms with fuzzy analytic hierarchy process and TOPSIS methods. Expert Systems with Applications, 36, 702–715.
Fandel, G. (2007). On the performance of universities in North Rhine-Westphalia, Germany: Government’s redistribution of funds judged using DEA efficiency measures. European Journal of Operational Research, 176, 521-533.
Flegg, A.T., Allen, D.O., Field, K., & Thurlow, T.W. (2004). Measuring the efficiency and productivity of british universities: An application of DEA and the Malmquist approach. Education Economics, 12, 231–249.
Glass, J.C., McKillop, D.G., & Hyndman, N. (1995a). Efficiency in the provision of university teaching and research: An empirical analysis of UK universities. Journal of Applied Econometrics, 10, 61–72.
Glass, J.C., McKillop, D.G., & Hyndman, N. (1995b). The achievement of scale efficiency in UK universities: a multiple-input multiple-output analysis. Education Economics, 3, 249–263.
Hashimoto, K., & Cohn, E. (1997). Economies of scale and scope in Japanese private universities. Education Economics, 5, 107–115.
Herbert, D.T., & Thomas, C.J. (1998). School performance, league tables and social geography. Applied Geography, 18, 199-223.
Ho, W. (2008). Integrated analytic hierarchy process and its applications-A literature review. European Journal of Operational Research, 186, 211-228.
Hwang, C.L., & Yoon, K. (1981). Multiple attribute decision making methods and applications, Berlin Heidelberg: Springer.
Johnes, J. (1996). Performance assessment in higher education in Britain. European Journal of Operational Research, 89, 18–33.
Johnes, J. (2006). Measuring teaching efficiency in higher education: An application of data envelopment analysis to economics graduates from UK Universities 1993. European Journal of Operational Research, 174, 443-456.
Kahraman, C., Beskese, A., & Ruan, D. (2004). Measuring flexibility of computer integrated manufacturing systems using fuzzy cash flow analysis. Information Sciences, 168, 77–94.
Kao, C., & Hung, H.T. (2008). Efficiency analysis of university departments: An empirical study. Omega, 36, 653-664.
Korhonen, P., Tainio, R., & Wallenius, J. (2001). Value efficiency analysis of academic research. European Journal of Operational Research, 130, 121-132.
Lee, S.K., Mogi, G., & Kim, J.W. (2009). Decision support for prioritizing energy technologies against high oil prices: A fuzzy analytic hierarchy process approach. Journal of Loss Prevention in the Process Industries, 22, 915-920.
Liu, F.H.F., & Hai, H.L. (2005). The voting analytic hierarchy process method for selecting supplier. International Journal of Production Economics, 97, 308–317.
McMillan, M.L., & Datta, D. (1998). The relative efficiency of Canadian universities. Canadian Public Policy, 24, 485–511.
Nicholls, M.G., & Cargill, B.J. (2011). Establishing best practice university research funding strategies using mixed-mode modelling. Omega, 39, 214-225.
Noguchi, H., Ogawa, M., & Ishii, H. (2002). The appropriate total ranking method using DEA for multiple categorized purposes. Journal of Computational and Applied Mathematics, 146, 155–166.
?nüt, S., & Soner, S. (2008). Transshipment site selection using the AHP and TOPSIS approaches under fuzzy environment. Waste Management, 28, 1552-1559.
Portela, M.C.A.S., & Thanassoulis, E. (2001). Decomposing school and school-type efficiency. European Journal of Operational Research, 132, 357-373.
Roy, B. (1968). Classement et choix en presence de points de vue multiples. (la methode ELECTRE) R.I.R.O, 8, 57–75.
Saaty, T.L. (1980). The analytic hierarchy process (1st ed.). New York: McGraw-Hill.
Simon, J., Simon, C., & Arias, A. (2011). Changes in productivity of Spanish university libraries. Omega, 39, 578-588.
Tyagi, P., Yadav, S.P., & Singh, S.P. (2009). Relative performance of academic departments using DEA with sensitivity analysis. Evaluation and Program Planning, 32, 168–177.
Wang, T.C., & Chang, T.H. (2007). Application of TOPSIS in evaluating initial training aircraft under a fuzzy environment. Expert Systems with Applications, 33, 870–880.
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, 31, .309–319.
Wang, Y-M., Liu, J., & Elhag, T.M.S. (2008). An integrated AHP–DEA methodology for bridge risk assessment. Computers & Industrial Engineering, 54, 513-525.
Worthington, A.C., & Lee, B.I. (2008). Efficiency, technology and productivity change in Australian Universities, 1998–2003. Economics of Education Review, 27, 285–298.
Xu, Z.S., & Chen, J. (2007). An interactive method for fuzzy multiple attribute group decision making. Information Sciences, 177, 248–263.
Yang, J.B. (2001). Rule and utility based evidential reasoning approach for multiattribute decision analysis under uncertainties. European Journal of Operational Research, 131, 31–61.
Yorke, M. (1997). A good league table guide? Quality Assurance in Education, 5, 61 – 72.
Yorke, M. (1998). The Times’ “league table” of universities, 1997: a statistical appraisal. Quality Assurance in Education, 6, 58 – 60.
Zadeh, L.A. (1965). Fuzzy sets. Information Control, 8, 338–353.
Zimmerman, H.J. (1996). Fuzzy sets theory and its applications. Boston: Kluwer Academic Publishers.