A Cluster Analysis Approach for Rule Base Reduction

Author:

Anzilli Luca,Giove Silvio

Publisher

Springer International Publishing

Reference20 articles.

1. Arbelaitz, O., Gurrutxaga, I., Muguerza, J., Pérez, J.M., Perona, I.: An extensive comparative study of cluster validity indices. Pattern Recognit. 46(1), 243–256 (2013)

2. Babuška, R., Setnes, M., Kaymak, U., van Nauta Lemke, H.R.: Rule base simplification with similarity measures. In: Proceedings of the Fifth IEEE International Conference on Fuzzy Systems, 1996, vol. 3, pp. 1642–1647. IEEE (1996)

3. Baranyi, P., Kóczy, L.T., Gedeon, T.T.D.: A generalized concept for fuzzy rule interpolation. IEEE Trans. Fuzzy Syst. 12(6), 820–837 (2004)

4. Bellaaj, H., Ketata, R., Chtourou, M.: A new method for fuzzy rule base reduction. J. Intell. Fuzzy Syst. Appl. Eng. Technol. 25(3), 605–613 (2013)

5. Chao, C.T., Chen, Y.J., Teng, C.C.: Simplification of fuzzy-neural systems using similarity analysis. IEEE Trans. Syst. Man Cybern. B Cybern. 26(2), 344–354 (1996)

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