Abstract
This paper presents a model for prediction of football league matches. We use intuitionistic fuzzy SQL (IFSQL) and intuitionistic fuzzy relational databases (IFRDB) to store and manage data about football matches and predictions. We take advantage of intuitionistic fuzzy sets by relating the degree of indefiniteness to an uncertainty about the estimation for a team’s capabilities. The uncertainty is produced by insufficient statistical data.
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© 2005 Springer-Verlag Berlin Heidelberg
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Kolev, B., Chountas, P., Petrounias, I., Kodogiannis, V. (2005). An Application of Intuitionistic Fuzzy Relational Databases in Football Match Result Predictions. In: Reusch, B. (eds) Computational Intelligence, Theory and Applications. Advances in Soft Computing, vol 33. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-31182-3_25
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DOI: https://doi.org/10.1007/3-540-31182-3_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22807-3
Online ISBN: 978-3-540-31182-9
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