Alinezhad, A., Mirmozaffari, M. (2018). Malmquist productivity index using two-stage dea model in heart hospitals. Iranian journal of optimization, 10(2), 81-92.
Alvarez, M. A. G. (2004). Market-based land reform: violence, efficiency, and redistribution in rural Colombia. University of Connecticut.
Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management science, 30(9), 1078-1092.
Caves, D. W., Christensen, L. R., & Diewert, W. E. (1982). The economic theory of index numbers and the measurement of input, output, and productivity. Econometrical: journal of the econometric society, 50, 1393-1414.
Coelli, T. J., Rao, D. S. P., O'Donnell, C. J., & Battese, G. E. (2005). An introduction to efficiency and productivity analysis. Springer Science & Business Media.
Darvish Motevalli, M., Hosseinzadeh Lotfi, F., Shoja, N., Gholamabri, A. (2019). A new model for calculating the efficiency of existing cement companies with a network structure (an application of data envelopment analysis). Financial engineering and portfolio management, 10(38), 65-93. (in Persian) http://fej.iauctb.ac.ir/article_664732.html?lang=fa
De, A., Bandyopadhyay, G., & Chakraborty, B. N. (2011). Application of the factor analysis on the financial ratios and validation of the results by the cluster analysis: an empirical study on the Indian cement industry. Journal of business studies quarterly, 2(3), 13-31.
Despotis, D. K., & Smirlis, Y. G. (2002). Data envelopment analysis with imprecise data. European journal of operational research, 140(1), 24-36.
Färe, R., Grosskopf, S., Lindgren, B., & Roos, P. (1994). Productivity developments in Swedish hospitals: a Malmquist output index approach. In Data envelopment analysis: Theory, methodology, and applications (pp. 253-272). Springer, Dordrecht.
Färe, R., Grosskopf, S., Norris, M., & Zhang, Z. (1994). Productivity growth, technical progress, and efficiency change in industrialized countries. The American economic review, 84(1), 66-83.
Fried, H. O., Lovell, C. K., Schmidt, S. S., & Schmidt, S. S. (2008). The measurement of productive efficiency and productivity growth. Oxford University Press.
Ju-Long, D. (1982). Control problems of grey systems. Systems & control letters, 1(5), 288-294.
Khajavi, Sh., Salimifard, A. R., & Rabieh, M. (2005). The application of data envelopment analysis (DEA) in determining a portfolio of the most efficient companies accepted at Tehran Stock Exchange.
Journal of social sciences and humanities of shiraz university, 22(2), 75-89. (In Persian). URL: https://www.sid.ir/en/journal/ViewPaper.aspx?ID=51348
Lee, J. Y., & Kim, D. (2013). Bank performance and its determinants in Korea. Japan and the world economy, 27, 83-94.
Mahotra, D. K., & Malhotra, R. (2008). Analyzing financial statements using data envelopment analysis. Com, lending rev., 23, 25-39.
Malmquist, S. (1953). Index numbers and indifference surfaces. Trabajos de estadística, 4(2), 209-242.
Mehrolhassani M, Goudarzi R, Yazdi Feyzabadi V, Pourhosseini S, Darvishi A. (2019). Efficiency and productivity measurement in research sector of iranian medical sciences universities using data envelopment analysis and malmquist index.
Iranian journal of epidemiology. 14, 1-11. (in Persian) URL:
http://irje.tums.ac.ir/article-1-6139-fa.html
Momeni, M. (2008). New topics in operations research. University of Tehran.
Sadaghiani, J. S., Amiri, M., & Kayedpour, F. (2013). Performance measurement of companies of pharmaceutical substances industry in Tehran Stock Exchange with the approach of COLS and DEA. Life science journal, 10(8), 70-91.
Schmiedel, H. (2004). Performance of international securities markets. Helsinki: Bank of Finland.
Serifsoy, B. (2006). Essays on stock exchange efficiency, business models, and governance (Doctoral dissertation, Dissertation zur Erlangung des Doktorgrades, Johann Wolfgang Goethe-Universität Frankfurt am Main, Wirtschaftswissenschaften, Darmstadt).
Shephard, R. W. (2012). Cost and production functions. Springer Science & Business Media.
Tehrani, R., Mehragan, M. R., & Golkani, M. R. (2012). A model for evaluating financial performance of companies by data envelopment analysis: a case study of 36 corporations affiliated with a private organization. International business research, 5(8), 8-16.
Worthington, A. C. (1998). The application of mathematical programming techniques to financial statement analysis: Australian gold production and exploration. Australian journal of management, 23(1), 97-113.
Yang, Y. S. (1998). Data envelopment analysis (DEA) model with interval gray numbers. International journal of information and management sciences, 9(4), 11-23.
Rahnamay Roodposhti, F., Imeni, M., & Sayadmanesh, S. (2019). BSC application and innovative methods of developed in the management accounting and strategic decisions of performance measurement. Decisions and operations research, 4(3), 246-261. (in Persian) doi: 10.22105/dmor.2020.215116.1135
Zhu, J. (1996). Robustness of the efficient DMUs in data envelopment analysis. European journal of operational research, 90(3), 451-460.