Author:
Naumoski Andreja,Mirceva Georgina,Mitreski Kosta
Publisher
Springer International Publishing
Reference18 articles.
1. Drobics, M., Bodenhofer, U., Klement, E.P.: FS-FOIL: an inductive learning method for extracting interpretable fuzzy descriptions. Internat. J. Approx. Reason 32, 131–152 (2003)
2. Prade, H., Richard, G., Serrurier, M.: Enriching relational learning with fuzzy predicates. In: Proceedings of Principles and Practice of Knowledge Discovery in Databases, pp. 399–410 (2003)
3. Cloete, I., Van Zyl, J.: Fuzzy rule induction in a set covering framework. IEEE Trans. Fuzzy Syst. 14(1), 93–110 (2006)
4. Xie, D.: Fuzzy associated rules discovered on effective reduced database algorithm. In: Proceedings of the 14th IEEE International Conference on Fuzzy Systems, pp. 779–784 (2005)
5. Marin-Blazquez, J.G., Shen, Q.: From approximative to descriptive fuzzy classifiers. IEEE Trans. Fuzzy Syst. 10(4), 484–497 (2002)
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