|Table of Contents|

Fuzzy Rule Extraction by Fusing SOM and Wang-Mendel Method

《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

Issue:
2011年06期
Page:
759-763
Research Field:
Publishing date:

Info

Title:
Fuzzy Rule Extraction by Fusing SOM and Wang-Mendel Method
Author(s):
YU Dong-junCHEN Yi-huaYU Hai-ying
School of Computer Science and Technology,NUST,Nanjing 210094,China
Keywords:
self-organizing map fuzzy rule extraction chaotic time series pattern distribution
PACS:
TP391. 41
DOI:
-
Abstract:
To solve the problem that too many fuzzy rules may be extracted by the classic Wang-Mendel method,a novel rule extraction method which combines self-organizing map( SOM) and Wang-Mendel method is presented. Original samples are firstly learned by the SOM, and rules are further extracted from the codebook vectors of the learned SOM by the Wang-Mendel method. The proposed method decreases the number of the extracted rules and the time consumption because the codebook vectors of the learned SOM achieves the pattern distribution knowledge of the original samples and the number of the codebook vectors is far less than that of the original samples. Experimental results on chaotic time series prediction demonstrate the effectiveness of the proposed method.

References:

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Last Update: 2012-10-25