Artificial intelligence-driven approach to identify and recommend the winner in a tied event in sports surveillance

Anwar, Khalid; Zafar, Aasim; Iqbal, Arshad; Sohail, Shahab Saquib; Hussain, Amir; Karaca, Yeliz; Hijji, Mohammad; Saudagar, Abdul Khader Jilani; Muhammad, Khan

Abstract

The proliferation of fractal artificial intelligence (AI)-based decision-making has propelled advances in intelligent computing techniques. Fractal AI-driven decision-making approaches are used to solve a variety of real-world complex problems, especially in uncertain sports surveillance situations. To this end, we present a framework for deciding the winner in a tied sporting event. As a case study, a tied cricket match was investigated, and the issue was addressed with a systematic state-of-the-art approach by considering the team strength in terms of the player score, team score at different intervals, and total team scores (TTSs). The TTSs of teams were compared to recommend the winner. We believe that the proposed idea will help to identify the winner in a tied match, supporting intelligent surveillance systems. In addition, this approach can potentially address many existing issues and future challenges regarding critical decision-making processes in sports. Furthermore, we posit that this work will open new avenues for researchers in fractal AI.

Citation

Anwar, K., Zafar, A., Iqbal, A., Sohail, S. S., Hussain, A., Karaca, Y., …Muhammad, K. (2023). Artificial intelligence-driven approach to identify and recommend the winner in a tied event in sports surveillance. Fractals, 31(10), Article 2340149. https://doi.org/10.1142/s0218348x23401497

• Journal Article Type: Article
• Acceptance Date: Dec 22, 2022
• Online Publication Date: Oct 28, 2023
• Publication Date: 2023
• Deposit Date: Jan 8, 2024
• Publicly Available Date: Jan 8, 2024
• Journal: Fractals
• Print ISSN: 0218-348X
• Electronic ISSN: 1793-6543
• Publisher: World Scientific Publishing
• Peer Reviewed: Peer Reviewed
• Volume: 31
• Issue: 10
• Article Number: 2340149
• DOI: https://doi.org/10.1142/s0218348x23401497
• Keywords: Fractal AI, OWA, Multi-Criteria Decision-Making (MCDM), Data Analysis, Artificial Intelligence, Sports, Surveillance
• Public URL: http://researchrepository.napier.ac.uk/Output/3367785