Prediction of Attendance Demand in European Football Games: Comparison of ANFIS, Fuzzy Logic, and ANN
Joint Authors
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-08-07
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
An artificial neural network (ANN), adaptive neurofuzzy inference system (ANFIS) models, and fuzzy rule-based system (FRBS) models are developed to predict the attendance demand in European football games, in this paper.
To determine the most successful method, each of the methods is analyzed under different situations.
The Elman backpropagation, feed-forward backpropagation, and cascade-forward backpropagation network types are developed to determine the outperforming ANN model.
The backpropagation and hybrid optimization methods are used for training fuzzy inference system (FIS) to determine the outperforming ANFIS model.
The fuzzy logic model is developed after experimenting different forms of membership functions.
To this end, the data of 236 soccer games are used to train the ANN and ANFIS models, and 2017/2018 season’s data of these clubs are used to test all of the models.
The results of all models are compared with each other and real past data.
To assess the performance of each model, two error measures that are Mean Absolute Percent Error (MAPE) and Mean Absolute Deviation (MAD) are implemented.
These measures reveal that the ANN model that has Elman network type outperforms the other models.
Finally, the results emphasize that the proposed ANN model can be effectively used for prediction purposes.
American Psychological Association (APA)
Şahin, Mehmet& Erol, Rızvan. 2018. Prediction of Attendance Demand in European Football Games: Comparison of ANFIS, Fuzzy Logic, and ANN. Computational Intelligence and Neuroscience،Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1130779
Modern Language Association (MLA)
Şahin, Mehmet& Erol, Rızvan. Prediction of Attendance Demand in European Football Games: Comparison of ANFIS, Fuzzy Logic, and ANN. Computational Intelligence and Neuroscience No. 2018 (2018), pp.1-14.
https://search.emarefa.net/detail/BIM-1130779
American Medical Association (AMA)
Şahin, Mehmet& Erol, Rızvan. Prediction of Attendance Demand in European Football Games: Comparison of ANFIS, Fuzzy Logic, and ANN. Computational Intelligence and Neuroscience. 2018. Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1130779
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1130779