A Neuro-fuzzy Logic Model Application for Predicting the Result of a Football Match

Uzochukwu C. Onwuachu, Promise Enyindah
2022 European Journal of Electrical Engineering and Computer Science  
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
more » ... 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.
doi:10.24018/ejece.2022.6.1.400 fatcat:xgihqwrrq5ggdbd7ozwt7irwzi