Journal
CYBERNETICS AND SYSTEMS ANALYSIS
Volume 41, Issue 4, Pages 619-630Publisher
SPRINGER
DOI: 10.1007/s10559-005-0098-4
Keywords
football match prediction; fuzzy logic; fuzzy knowledge bases; genetic algorithm; neural fuzzy network
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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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