Open AccessA Neuro-fuzzy Logic Model Application for Predicting the Result of a Football Match
Author(s) -
Uzochukwu C. Onwuachu,
P. Enyindah
Publication year - 2022
Publication title -
european journal of electrical engineering and computer science
Language(s) - English
Resource type - Journals
ISSN - 2736-5751
DOI - 10.24018/ejece.2022.6.1.400
Subject(s) - football , outcome (game theory) , fuzzy logic , artificial neural network , computer science , artificial intelligence , machine learning , variety (cybernetics) , matlab , football team , operations research , simulation , engineering , mathematics , operating system , mathematical economics , political science , law
Many various models have been proposed with the goal of estimating the factors that determine the winner and losers in a football match, and many other models have been proposed with the goal of estimating the elements that determine the winner and losers in a football match. Predicting the result of a football match has been the interest of many gamblers and football fans all over the world. In this research, a Neuro-fuzzy logic model for forecasting the outcome of a football match is proposed. The suggested model comprises two phases: the first utilizes a neural network model to generate the primary factors that impact team performance; the second phase uses a neural network model to generate the major factors that affect team performance. In the second phase, a fuzzy logic model is used to forecast the outcome of a football match. MatLab 2008 was used to simulate the proposed system. In order to forecast the winner and loser of each football match, the model took into account a variety of parameters that affect both the host team and the visiting squad. The results show that the Neurofuzzy logic technique is an effective tool for forecasting the outcome of a football match.