A novel approach for decision support system in cricket using machine learning. (6th October 2022)

• Record Type: Journal Article
• Authors: Jha, Sudan; Routray, Sidheswar; Abdeljaber, Hikmat A.M.; Ahmad, Sultan
• Is Part Of: International journal of computer applications technology. Volume 69:Number 1(2022)
• Page Start: 86
• Page End: 92
• Publication Date: 2022-10-06
• Subjects: twenty-twenty match -- cricket -- bowler selection -- indicator -- parameter -- decision tree; Technology -- Data processing -- Periodicals; 620.00285
• Languages: English
• ISSNs: 0952-8091

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.