Rough Sets in Machine Learning: A Review

Author:

Bello Rafael,Falcon Rafael

Publisher

Springer International Publishing

Reference308 articles.

1. Abraham, A., Falcon, R., Bello, R.: Rough Set Theory: A True Landmark in Data Analysis. Springer, Berlin, Germany (2009)

2. Bai, H., Ge, Y., Wang, J., Li, D., Liao, Y., Zheng, X.: A method for extracting rules from spatial data based on rough fuzzy sets. Knowl. Based Syst. 57, 28–40 (2014)

3. Bal, M.: Rough sets theory as symbolic data mining method: an application on complete decision table. Inf. Sci. Lett. 2(1), 111–116 (2013)

4. Bang, W.C., Bien, Z.: New incremental learning algorithm in the framework of rough set theory. Int. J. Fuzzy Syst. 1, 25–36 (1999)

5. Bazan, J.G.: A comparison of dynamic and non-dynamic rough set methods for extracting laws from decision tables. Rough Sets Knowl Discovery 1, 321–365 (1998)

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