Farhang, Yousef and Shamsuddin, Siti Mariyam and Fattahi, Haniyeh (2011) Granular computing based data mining in the views of rough set and fuzzy set. Communications in Computer and Information Science, 252 (2). pp. 624-629. ISSN 1865-0929
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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.
Item Type: | Article |
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Uncontrolled Keywords: | Granular Computing (GrC), data mining, rough set, fuzzy set |
Subjects: | Q Science > QA Mathematics > QA76 Computer software |
ID Code: | 44949 |
Deposited By: | Haliza Zainal |
Deposited On: | 21 Apr 2015 03:31 |
Last Modified: | 31 Jan 2017 06:13 |
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