Pratama, Kukuh Wahyudin and Aman, Mohd Salleh and Sutoyo, Edi and Karakauki, Manil and Ali, Syed Kamaruzaman Syed and Mustapha, Aida and Kristiyanto, Agus and Nasrulloh, Ahmad (2022) An Alternative Soft Set Approach for Identifying Football Conflict: A Case Study of Indonesian Football Super League. International Journal on Advanced Science, Engineering and Information Technology, 12 (4). 1351 – 1364. ISSN 2088-5334, DOI https://doi.org/10.18517/ijaseit.12.4.14246.
Full text not available from this repository.Abstract
Conflict situations in football have become a significant issue because they affect the players, supporters, referees, management team, the governing body of football, and the government. As time passes, the discovery of conflicts within the football industry has also become increasingly diverse; both affected in-game or out of the game. In 2015, Indonesia had no activity in football for almost a year when the International Federation of Association Football (FIFA) banned the Football Association of Indonesia (PSSI) from competing in international competitions until the conflict among their internal agents was resolved. The agents involved in this highly controversial ban include the Commission 10 of the Parliament of Indonesia, the National Sports Committee of Indonesia (KONI), the Indonesian President, and the Ministry of Youth and Sport of Indonesia. Conflict resolution strategies outside the football games are delicate and more challenging to overcome due to the involvement of the government and various governing bodies. This opens to higher unpredictability in modeling the conflict situations, hence a lower possibility of a successful conflict resolution model strategy. In addressing this gap, this paper proposes a new Computational Intelligence approach based on the Soft Set Theory, where an alternative algorithm is derived from modeling the conflict situations. We then delineated the proposed algorithm for an instructional example of the Indonesian football conflict situation in 2015 concerning the Indonesia Football Super League. The results showed that the proposed algorithm successfully handled conflict and recommended the Indonesian football agents involved, including PSSI and FIFA. © 2022. International Journal on Advanced Science, Engineering and Information Technology. All Rights Reserved.
| Item Type: | Article |
|---|---|
| Funders: | UNSPECIFIED |
| Additional Information: | Cited by: 3; All Open Access, Hybrid Gold Open Access |
| Uncontrolled Keywords: | Conflict; Decision making; Football; Soft set |
| Subjects: | G Geography. Anthropology. Recreation > GV Recreation Leisure L Education > L Education (General) L Education > LC Special aspects of education |
| Divisions: | Faculty of Education Faculty of Education > Department of Educational Foundations & Humanities Faculty of Sports and Exercise Science (formerly known as Centre for Sports & Exercise Sciences) |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 14 Nov 2024 07:43 |
| Last Modified: | 14 Nov 2024 07:43 |
| URI: | http://eprints.um.edu.my/id/eprint/43781 |
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