Far East Journal of Experimental and Theoretical Artificial Intelligence
Volume 5, Issue 1-2, Pages 45 - 55
(May 2010)
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ROBUST TSK MODELING FOR FUNCTION APPROXIMATION BASED ON ROUGH SETS
Chih-Ching Hsiao
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Abstract:
Fuzzy set and the rough set theories turned out to be particularly adequate for the analysis of various types of data, especially, when dealing with inexact, uncertain or vague knowledge. In this paper, we propose a novel algorithm, which termed as rough-fuzzy C-regression model (RFCRM), that defines fuzzy subspaces in a fuzzy regression manner and also includes rough-set theory for function approximation with robust capability against outliers. |
| Keywords and phrases: TSK modeling, fuzzy set, rough set, function approximation. |
| Communicated by Shun-Feng Su |
| Number of Downloads: 258 | Number of Views: 462 |
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