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Choosing the best Twenty20 cricket batsmen using ordered weighted averaging

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Abstract:

This paper provides a way to evaluate and choose the best Twenty20 (T20) cricket batsmen using ordered weighted averaging (OWA) operator. The paper suggests an OWA evaluation method for a cricket batsman using multiple attributes related to the player's performance. A dataset consisting of ten important attributes for 24 T20 Indian Premier League 4 (IPL 4) cricket batsmen is used to choose the best players. Also, a comparison result shows the advantage of using the proposed OWA method. The proposed method in this paper can also be used for evaluation of T20 bowlers in turn in the selection of a T20 cricket team.

Keywords: BATSMEN; CRICKET; INDIAN PREMIER LEAGUE; INTEGER PROGRAMMING; ORDERED WEIGHTED AVERAGING; TWENTY20

Document Type: Research Article

Publication date: 2012-12-01

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