Prediction of Cricket World Cup 2019 by TOPSIS Technique of MCDM-A Mathematical Analysis

Prediction about the result of cricket matches astonishing as a research problem, especially due to its complexity, unpredictable assumption (weather and pitch conditions). Because the ultimate outcome of a cricket match is based on many aspect and unaccepted bearings therefore it is difficult responsibility to predict the exact and partial truth-based outcomes of cricket matches such a research expects a multi criteria decision making approach. TOPSIS to predict true ranking and principally applied to fallouts of CRICKET WORLD CUP 2019. So, by proposed technique, India has the most chances of winning the CWC2019, and the rank of team Pakistan is 7. The team Afghanistan has the lowest chances of winning. .

[1]  P. S. Gill,et al.  Modelling and simulation for one‐day cricket , 2009 .

[2]  M. Saqlain,et al.  Impact of pH of Water on Washing Time in Automatic Washing Machine , 2018 .

[3]  A. J. Lewis,et al.  A fair method for resetting the target in interrupted one-day cricket matches , 1998, J. Oper. Res. Soc..

[4]  Satyam Mukherjee,et al.  Quantifying individual performance in Cricket — A network analysis of batsmen and bowlers , 2012, 1208.5184.

[5]  Uday Damodaran Stochastic Dominance and Analysis of ODI Batting Performance: the Indian Cricket Team, 1989-2005. , 2006, Journal of sports science & medicine.

[6]  Robert J Willis,et al.  Scheduling the Cricket World Cup—a Case Study , 1993 .

[7]  K. A. A. D. Raj,et al.  Application of Association Rule Mining: A case study on team India , 2013, 2013 International Conference on Computer Communication and Informatics.

[8]  Ananda Bandulasiri,et al.  Predicting the Winner in One Day International Cricket , 2008 .

[9]  Amal Kaluarachchi,et al.  CricAI: A classification based tool to predict the outcome in ODI cricket , 2010, 2010 Fifth International Conference on Information and Automation for Sustainability.

[10]  M. Saqlain,et al.  Modified Dust-Lower-Hybrid Waves In Quantum Plasma , 2018 .

[11]  Parteek Bhatia,et al.  Score and winning prediction in cricket through data mining , 2015, 2015 International Conference on Soft Computing Techniques and Implementations (ICSCTI).

[12]  Stephen R. Clarke Dynamic Programming in One-Day Cricket-Optimal Scoring Rates , 1988 .