International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Comparing Multi Criteria Decision Making Methods by Evaluation of Batterâ€™s Current Performance in T20 Internationals

Author : Netra Kulkarni ¹ Y.D. Sharma ²

Date of Publication :1st July 2022

Abstract: Cricket analytics is the field of collecting cricket data and analysing it which can be used to improve playerâ€™s or teamâ€™s performance. Here in this paper, Multi Criteria Decision Making methods are applied and batters playing T20 Internationals for past ten years are ranked according to their current performances. These rankings are useful not only to predict best batters but also to guide other batters to adapt their techniques. Criteria used are Runs Per Innings (RPI), Strike Rate (SR), Balls Per Boundary (BPB) and Dot Percentage. Analytic Hierarchy Process (AHP) is used to give weights to these criteria and Weighted Sum Model (WSM), Weighted Product Model (WPM) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) are used to rank the batters. Finally, these methods are compared to check robustness of the output based on the concept of Sensitivity Analysis.

Reference :

1. Murat Ko¨ksalan, Jyrki Wallenius, and Stanley Zionts. “An early history of multiple criteria decision making”. In: Journal of Multi-Criteria Decision Analysis 20.1-2 (2013), pp. 87–94.
2. Frank P Ramsey. “Truth and probability”. In: Readings in formal epistemology. Springer, 2016, pp. 21–45.
3. Ward Edwards. “Behavioral decision theory”. In: Annual review of psychology 12.1 (1961), pp. 473–498.
4. Herbert A Simon. “Administrative decision making”. In: Public Administration Review (1965), pp. 31–37.
5. Abraham Charnes, William W Cooper, and Robert O Ferguson. “Optimal estimation of executive compensation by linear programming”. In: Management science 1.2 (1955), pp. 138–151.
6. Bernard Roy. “Classement et choix en pr´esence de points de vue multiples”. In: Revue fran¸caise d’informatique et de recherche op´erationnelle 2.8 (1968), pp. 57–75.
7. Bruno Contini and Stanley Zionts. “Restricted bargaining for organizations with multiple objectives”. In: Econometrica: Journal of the Econometric Society (1968), pp. 397–414.
8. Ronald A Howard. “Decision analysis: Perspectives on inference, decision, and experimentation”. In: Proceedings of the IEEE 58.5 (1970), pp. 632–643
9. Stanley Zionts and Jyrki Wallenius. “An interactive programming method for solving the multiple criteria problem”. In: Management science 22.6 (1976), pp. 652– 663
10. Ralph L Keeney, Howard Raiffa, and David W Rajala. “Decisions with multiple objectives: Preferences and value trade-offs”. In: IEEE transactions on Systems, man, and cybernetics 9.7 (1979), pp. 403–403.
11. Thomas L Saaty. “How to make a decision: the analytic hierarchy process”. In: European journal of operational research 48.1 (1990), pp. 9– 26.
12. Ching-Lai Hwang and Kwangsun Yoon. “Multiple attribute decision making: a state of the art survey”. In: Lecture notes in economics and mathematical systems 186.1 (1981), pp. 58–191.
13. Kwangsun Yoon. “A reconciliation among discrete compromise solutions”. In: Journal of the Operational Research Society 38.3 (1987), pp. 277–286.
14. Young-Jou Lai, Ting-Yun Liu, and Ching-Lai Hwang. “Topsis for MODM”. In: European journal of operational research 76.3 (1994), pp. 486–500. [15] Evangelos Triantaphyllou. “Multi-criteria decision making methods”. In: Multi-criteria decision making methods: A comparative study. Springer, 2000, pp. 5–21.
15. Dr Kashid, Saurabh N Mehta, Vineeta Basotia, et al. “A Hybrid AHPTOPSIS Mathematical Multi Criteria Decision-Making Model for Players Performance Evaluation and Selection in IPL a Case Study”. In: National Conference on” New Frontiers of Innovation in Management, Social Science, and Technology and their Impact on Societal Development” AU-FAIT. Vol. 5. 2019.
16. Pabitra Kumar Dey, Dipendra Nath Ghosh, and Abhoy Chand Mondal. “A MCDM approach for evaluating bowlers performance in IPL”. In: Journal of emerging trends in Computing and Information Sciences 2.11 (2011), pp. 563–573.
17. Muhammad Saqlain et al. “Prediction of Cricket World Cup 2019 by TOPSIS Technique of MCDM-A Mathematical Analysis”. In: International Journal of Scientific & Engineering Research 10.2 (2019), pp. 789– 792.
18. Erica Vassoney et al. “Comparing multi-criteria decision-making methods for the assessment of flow release scenarios from small hydropower plants in the alpine area”. In: Frontiers in Environmental Science 9 (2021), p. 104.