PERFORMANCE EVALUATION OF CRICKETERS THROUGH FUZZY INFERENCE SYSTEM

Dr. Mahesh Singh Dhapola and Mr. Debabrata Sarkar

ABSTRACT

Cricket is a bat-and-ball game played between two teams of 11 players each on a field at the center of which is a rectangular 22 yard long pitch.Each team takes its turn to bat, attempting to score runs, while the other team fields. The main objective of any team is to win the match. The result of a match is a win when one side scores more runs than the opposing side and all the innings of the team that has fewer runs have been completed. The performance evaluation in cricket is very critical issue in this game.Performance of players directly affects team`s and their ranking internationally. Hence, the  success  or  failure  of  any  team  lies  in  the  skills  and  abilities  of  the  players  that  comprise the  team.This paper proposed a new tool based on Fuzzy Inference System (FIS) to evaluate the performance of a cricket player. FIS is a process to formulate the mapping from given input to an output using fuzzy logic. Various new parameters are used in this tool which can make affect on the performances of players and can improve the quality of performance evaluation in cricket. This tool will be useful to make the ranking of players and for the selection of players based on performances.

Keywords: Cricket Players, Pitch, Ranking, Fuzzy Logic, Fuzzy Inference System and Performance Evaluation.