Football Predictions Based on a Fuzzy Model with Genetic and Neural Tuning |
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Authors: | A P Rotshtein M Posner A B Rakityanskaya |
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Affiliation: | (1) Jerusalem College of Technology, Machon Lev, Israel;(2) Vinnitsa National Technical University, Vinnitsa, Ukraine |
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Abstract: | A model is proposed for predicting the result of a football match from the previous results of both teams. This model underlies
the method of identifying nonlinear dependencies by fuzzy knowledge bases. Acceptable simulation results can be obtained by
tuning fuzzy rules using tournament data. The tuning procedure implies choosing the parameters of fuzzy-term membership functions
and rule weights by a combination of genetic and neural optimization techniques.
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Translated from Kibernetika i Sistemnyi Analiz, No. 4, pp. 171–184, July–August 2005. |
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Keywords: | football match prediction fuzzy logic fuzzy knowledge bases genetic algorithm neural fuzzy network |
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