Statistical Based Multi-Criteria Decision Making Analysis for Performance Measurement of Batsmen in Indian Premier League

Pabitra Kumar Dey, Dipendra Nath Ghosh, ,Abhoy Chand Mondal

Abstract


This paper aims to measure the performances of batsmen during first three session of Indian Premier League (IPL) Twenty-20 cricket tournament. Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method for multi-criteria decision making has been used to evaluate the performances of batsmen. Analytical Hierarchy Process (AHP) has been used for calculating the weights of the batsmen’s criterion and One-way ANalysis Of VAriance (ANOVA) has been used to measure the contribution of the different criterion which is further combined with the AHP results to get the modified weight of each criterion. Finally, this article proposed a statistical based multi-criteria decision making analysis which provides a comparison between the batsmen in three IPL and evaluate the overall performances of batsmen.

 

Keywords:Performance Measure, Twenty-20 Cricket, AHP, ANOVA, TOPSIS.

 


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DOI: https://doi.org/10.26483/ijarcs.v3i4.1295

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