A Neuro-fuzzy Logic Model Application for Predicting the Result of a Football Match
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Submitted Jan 7, 2022
Published Feb 16, 2022
Published Feb 16, 2022
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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.
Keywords: Fuzzy Logic, Football and Prediction, Neural Networks
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How to Cite
[1]
Onwuachu, U.C. and Enyindah, P. 2022. A Neuro-fuzzy Logic Model Application for Predicting the Result of a Football Match. European Journal of Electrical Engineering and Computer Science. 6, 1 (Feb. 2022), 60–65. DOI:https://doi.org/10.24018/ejece.2022.6.1.400.
This work is licensed under a Creative Commons Attribution 4.0 International License.
