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    Abstract
2012 (Vol. 4, Issue: 18)
Article Information:

Creating Time-varying Fuzzy Control Rules Based on Data Mining

Zhongkui Sun, Zhang Hao,Chen Lei, Wang Lili
Corresponding Author:  Dexian Sun 

Key words:  Fuzzy Control Rules, Data mining, Incremental data, , , , , ,
Vol. 4 , (18): 3533-3538
Submitted Accepted Published
April 16, 2012 May 18, 2012
Abstract:

The fuzzy control rules is a core part of a fuzzy controller. At present,a method was used to create fuzzy control rules ,which is based on experiential knowledge, rather than on system structure or behavioural procedur . there is often the bottleneck of knowledge acquisition , and the resulting knowledge base is static, so that the knowledge base is often not fully reflect the the current production status. With the advent of data mining techniques, a new way is provided to create fuzzy control rules. And with the introduction of incremental data mining techniques, fuzzy control rules can be updated dynamically in time on the condition that massive new data is producing.
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  Cite this Reference:
Zhongkui Sun, Zhang Hao,Chen Lei, Wang Lili, 2012. Creating Time-varying Fuzzy Control Rules Based on Data Mining.  Research Journal of Applied Sciences, Engineering and Technology, 4(18): 3533-3538.
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ISSN (Online):  2040-7467
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