How to cite this paper
Chakraborty, S., Kumar, V & Ramakrishnan, K. (2018). Selection of the all-time best World XI Test cricket team using the TOPSIS method.Decision Science Letters , 8(1), 95-108.
Refrences
Ahmed, F., Jindal, A., Deb, K. (2011). Cricket team selection using evolutionary multi-objective optimization. In Proc. of 2nd International Conference on Swarm, Evolutionary, and Memetic Computing, India, 71-78.
Aqil Burney, S.M., Mahmood, N., Rizwan, K., Amjad, U. (2012). A generic approach for team selection in multi-player games using genetic algorithm. International Journal of Computer Applications, 40(17), 11-17.
Bagheri, M., Shojaei, P & Khorami, M. (2018). A comparative survey of the condition of tourism infrastructure in Iranian provinces using VIKOR and TOPSIS. Decision Science Letters, 7(1), 87-102.
Barr, G. D. I., Kantor, B. S. (2004). A criterion for comparing and selecting batsmen in limited overs cricket. Journal of the Operational Research Society, 55(12), 1266-1274.
Beaudoin, D., Swartz, T. (2003). The best batsmen and bowlers in one-day cricket. South African Statistical Journal, 37(2), 203-222.
Behzadian, M., Otaghsara, S.K., Yazdani, M., Ignatius, J. (2012). A state-of-the-art survey of TOPSIS applications. Expert Systems with Applications, 39(17), 13051-13069.
Bhattacharjee, D., Saikia, H. (2014). On performance measurement of cricketers and selecting an optimum balanced team. International Journal of Performance Analysis in Sports, 14(1), 262-275.
Daniyal, M., Nawaz, T., Mubeen, I., Aleem, M. (2012). Analysis of batting performance in cricket using individual and moving range (MR) control charts. International Journal of Sports Science and Engineering, 6(4), 195-202.
Hwang, C-L., Yoon, K. (1981). Multiple Attribute Decision Making: Methods and Applications A State-of-the-Art Survey. Springer-Verlag, Berlin Heidelberg.
Gaur, P. K., Bhattacharjee, D. (2016). On finding the most compatible batting average. Journal of Applied Quantitative Methods, 11(3), 50-60.
Irvine, S., Kennedy, R. (2017). Analysis of performance indicators that most significantly affect International Twenty20 cricket. International Journal of Performance Analysis in Sports, 17(3), 350-359.
Kamble, A.G., Rao, R.V., Kale A.V., Samant, S.P. (2011). Selection of cricket players using analytical hierarchy process. International Journal of Sports Science and Engineering, 5(4), 207-212.
Kimber, A. (1993). A graphical display for comparing bowlers in cricket. An International Journal for Teachers, 15(3), 84-86.
Lemmer, H. H. (2011). Performance measures for wicket keepers in cricket. South African Journal for Research in Sport, Physical Education and Recreation, 33(3), 89-102.
Ovens, M., Bukiet, B. (2006). A mathematical modelling approach to one-day cricket batting orders. Journal of Sports Science and Medicine, 5(4), 495-502.
Saikia, H., Bhattacharjee, D., Radhakrishnan, U. K. (2016). A new model for player selection in cricket. International Journal of Performance Analysis in Sports, 16(1), 373-388.
Sathya, S. S., Jamal, M.S. (2009). Applying genetic algorithm to select an optimal cricket team. In Proc. of International Conference on Advances in Computing, Communication and Control, India, 43-47.
Swartz, T. B., Gill, P.S., Beaudoin, D., deSilva, B.M. (2006). Optimal batting orders in one-day cricket. Computers & Operations Research, 33(7), 1939-1950.
Rao, R.V. (2007). Decision Making in the Manufacturing Environment using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods. Springer-Verlag, London.
Tlig, H & Rebai, A. (2017). A TOPSIS method based on intuitionistic fuzzy values: a case study of North African airports. Management Science Letters, 7(7), 351-358.
Van Staden, P. J. (2009). Comparison of cricketers’ bowling and batting performances using graphical displays. Current Science, 96(6), 764-766.
Xu, X. (2004). A note on the subjective and objective integrated approach to determine attribute weights. European Journal of Operational Research, 156(2), 530-532.
Aqil Burney, S.M., Mahmood, N., Rizwan, K., Amjad, U. (2012). A generic approach for team selection in multi-player games using genetic algorithm. International Journal of Computer Applications, 40(17), 11-17.
Bagheri, M., Shojaei, P & Khorami, M. (2018). A comparative survey of the condition of tourism infrastructure in Iranian provinces using VIKOR and TOPSIS. Decision Science Letters, 7(1), 87-102.
Barr, G. D. I., Kantor, B. S. (2004). A criterion for comparing and selecting batsmen in limited overs cricket. Journal of the Operational Research Society, 55(12), 1266-1274.
Beaudoin, D., Swartz, T. (2003). The best batsmen and bowlers in one-day cricket. South African Statistical Journal, 37(2), 203-222.
Behzadian, M., Otaghsara, S.K., Yazdani, M., Ignatius, J. (2012). A state-of-the-art survey of TOPSIS applications. Expert Systems with Applications, 39(17), 13051-13069.
Bhattacharjee, D., Saikia, H. (2014). On performance measurement of cricketers and selecting an optimum balanced team. International Journal of Performance Analysis in Sports, 14(1), 262-275.
Daniyal, M., Nawaz, T., Mubeen, I., Aleem, M. (2012). Analysis of batting performance in cricket using individual and moving range (MR) control charts. International Journal of Sports Science and Engineering, 6(4), 195-202.
Hwang, C-L., Yoon, K. (1981). Multiple Attribute Decision Making: Methods and Applications A State-of-the-Art Survey. Springer-Verlag, Berlin Heidelberg.
Gaur, P. K., Bhattacharjee, D. (2016). On finding the most compatible batting average. Journal of Applied Quantitative Methods, 11(3), 50-60.
Irvine, S., Kennedy, R. (2017). Analysis of performance indicators that most significantly affect International Twenty20 cricket. International Journal of Performance Analysis in Sports, 17(3), 350-359.
Kamble, A.G., Rao, R.V., Kale A.V., Samant, S.P. (2011). Selection of cricket players using analytical hierarchy process. International Journal of Sports Science and Engineering, 5(4), 207-212.
Kimber, A. (1993). A graphical display for comparing bowlers in cricket. An International Journal for Teachers, 15(3), 84-86.
Lemmer, H. H. (2011). Performance measures for wicket keepers in cricket. South African Journal for Research in Sport, Physical Education and Recreation, 33(3), 89-102.
Ovens, M., Bukiet, B. (2006). A mathematical modelling approach to one-day cricket batting orders. Journal of Sports Science and Medicine, 5(4), 495-502.
Saikia, H., Bhattacharjee, D., Radhakrishnan, U. K. (2016). A new model for player selection in cricket. International Journal of Performance Analysis in Sports, 16(1), 373-388.
Sathya, S. S., Jamal, M.S. (2009). Applying genetic algorithm to select an optimal cricket team. In Proc. of International Conference on Advances in Computing, Communication and Control, India, 43-47.
Swartz, T. B., Gill, P.S., Beaudoin, D., deSilva, B.M. (2006). Optimal batting orders in one-day cricket. Computers & Operations Research, 33(7), 1939-1950.
Rao, R.V. (2007). Decision Making in the Manufacturing Environment using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods. Springer-Verlag, London.
Tlig, H & Rebai, A. (2017). A TOPSIS method based on intuitionistic fuzzy values: a case study of North African airports. Management Science Letters, 7(7), 351-358.
Van Staden, P. J. (2009). Comparison of cricketers’ bowling and batting performances using graphical displays. Current Science, 96(6), 764-766.
Xu, X. (2004). A note on the subjective and objective integrated approach to determine attribute weights. European Journal of Operational Research, 156(2), 530-532.