Title: A novel approach for decision support system in cricket using machine learning

Authors: Sudan Jha; Sidheswar Routray; Hikmat A.M. Abdeljaber; Sultan Ahmad

Addresses: Department of Computer Science and Engineering, School of Engineering, Kathmandu University, Banepa, Dhulikhel, Kathmandu, Nepal ' Department of Computer Science and Engineering, School of Engineering, Indrashil University, Rajpur, Mehesana, Gujarat, India ' Department of Computer Science, Faculty of Information Technology, Applied Science Private University, Amman, Jordan ' Department of Computer Science, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Al kharj, Saudi Arabia

Abstract: In shorter format of cricket, the choice of a bowler has three main parameters namely: economy, strike rate and dot balls delivered. In most of the cases, the most hitting parameters are economy rate and number of wickets taken, which again are inter-related with the dot balls delivered. This paper presents a survey operational linear approach which comparatively analyses the above-cited three parameters and suggests a solution-based approach to choose a best bowler in 'Playing Eleven' with highest preference to the dot balls delivered. The bowler with highest dot ball delivered is considered as highest preference bowler. The inter-relationships among these parameters are established based on collected data. The proposed indicator is proved useful while making decisions. A software-based architecture is also proposed relating to decision support system for selecting a bowler in playing eleven using past data.

Keywords: twenty-twenty match; cricket; bowler selection; indicator; parameter; decision tree.

DOI: 10.1504/IJCAT.2022.126097

International Journal of Computer Applications in Technology, 2022 Vol.69 No.1, pp.86 - 92

Received: 13 Jun 2021
Accepted: 01 Sep 2021
Published online: 11 Oct 2022 *

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