Fuzzy regression model of goal difference of the Korean National Football Team based on ELO rating and dividend
- Authors
- Lee, Woo-Joo; Jhang, Hyo-Jin; Choi, Seung Hoe
- Issue Date
- Apr-2020
- Publisher
- IOS Press
- Keywords
- ELO rating; dividend; path analysis; fuzzy partition; regression analysis
- Citation
- Journal of Intelligent and Fuzzy Systems, v.38, no.4, pp 4537 - 4543
- Pages
- 7
- Indexed
- SCIE
SCOPUS
- Journal Title
- Journal of Intelligent and Fuzzy Systems
- Volume
- 38
- Number
- 4
- Start Page
- 4537
- End Page
- 4543
- URI
- https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/114188
- DOI
- 10.3233/JIFS-191288
- ISSN
- 1064-1246
1875-8967
- Abstract
- Soccer recently has become an intellectual game by predicting the outcome of games. In this study, we use path analysis to find the variable that affects the outcome of the Korea National Football Team (KNFT) matches the most, and consequently the odds of victory, defeat, or a draw, as announced by the betting company. We will also investigate the influence of the variables inferred from the path analysis and Korea's ELO Rating on the difference between scoring and losing points of the KNFT. We will represent the dividend and the difference between scoring and losing points as fuzzy numbers using the fuzzy decomposition, and then infer the fuzzy regression model for the result of the KNFT's match. For this purpose, we use data on 113 games of the KNFT from September 2011 to June 2019 and the dividend rate of the KNFT obtained from Wise Toto company.
- Files in This Item
-
Go to Link
- Appears in
Collections - COLLEGE OF SCIENCE AND CONVERGENCE TECHNOLOGY > ERICA 수리데이터사이언스학과 > 1. Journal Articles
![qrcode](https://api.qrserver.com/v1/create-qr-code/?size=55x55&data=https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/114188)
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.