Cricket Batsman Performance Evaluator using Fuzzy Logic

Cricket is amongst the most popular sports. Sports persons performance evaluation is a critical issue and the parameters used for this purpose are vague and imprecise. Performance of players directly affects their ranking internationally. Measuring the performance based on crisp input values and rules based on those crisp values tend to indicate the overall performance of the player in a misleading manner. This research work proposes tools based on fuzzy inference system and fuzzy cognitive maps to evaluate the performance of cricket players. Various input parameters have been considered which are scaled using linguistic variables and a very simple yet effective software tool is developed to compute the effect of input parameters on the ranking of the players. Working with two related yet different techniques allows to compare and contrast the tools and finally produce a tool that can be acceptable in a variety of sports fields with minor changes. Very simple and effective graphical user interfaces have been built to use the proposed model in a user friendly way.

Autorentext

Gursharan Singh has done MCA, M.Phil. and PhD. He was the Head of the Computer Application Department at Institute of Engg. & Tech., Bhaddal (India). His area of research is fuzzy logic. He is the author of four books and has published three research papers in international and national journals. Currently, he is residing in Canada.

Klappentext

Cricket is amongst the most popular sports. Sports persons' performance evaluation is a critical issue and the parameters used for this purpose are vague and imprecise. Performance of players directly affects their ranking internationally. Measuring the performance based on crisp input values and rules based on those crisp values tend to indicate the overall performance of the player in a misleading manner. This research work proposes tools based on fuzzy inference system and fuzzy cognitive maps to evaluate the performance of cricket players. Various input parameters have been considered which are scaled using linguistic variables and a very simple yet effective software tool is developed to compute the effect of input parameters on the ranking of the players. Working with two related yet different techniques allows to compare and contrast the tools and finally produce a tool that can be acceptable in a variety of sports fields with minor changes. Very simple and effective graphical user interfaces have been built to use the proposed model in a user friendly way.