Granular computing based data mining in the views of rough set and fuzzy set

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Abstract

Granular computing is a title of methodologies, techniques, and devices that make use of granules in the process of problem solving. The idea of granular computing has shown in a lot of areas, and it is likely playing a more and more important position in data mining. Rough set theory and fuzzy set theory, as two very important patterns of granular computing, are frequently used to process vague information in data mining. Combining rough set theory and fuzzy set theory, a flexible method is for processing imperfect information systems. © 2011 Springer-Verlag.

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Farhang, Y., Shamsuddin, S. M., & Fattahi, H. (2011). Granular computing based data mining in the views of rough set and fuzzy set. In Communications in Computer and Information Science (Vol. 252 CCIS, pp. 624–629). https://doi.org/10.1007/978-3-642-25453-6_52

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