Mining Model of Fuzzy Association Rules and its Application in Calciner

Jie Wang; Qin Hua Dang; Zhen Jie Wu

doi:10.4028/www.scientific.net/AMR.219-220.904

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 219-220Mining Model of Fuzzy Association Rules and its...

Mining Model of Fuzzy Association Rules and its Application in Calciner

Abstract:

The fuzzy clustering method is used to divide the data of calciner in this paper, and the method of fuzzy association rules is applied to get the control rules of calciner. Firstly, the fuzzy cluster and association algorithm are discussed,, later the hybrid algorithm KFCM is utilized to calculate the real data from the calciner to get the membership of each data, and MFAR method is used to obtain effective fuzzy association rules. The way put forward in this paper can solve the bottlenecks of expert experience, and can provide theoretical basis for the control of calciner.

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Periodical:

Advanced Materials Research (Volumes 219-220)

Pages:

904-907

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.219-220.904

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Online since:

March 2011

Authors:

Jie Wang, Qin Hua Dang, Zhen Jie Wu

Keywords:

Calciner Control, Data Mining (DM), Fuzzy Association Rules, Fuzzy Clustering, KFCM, MFAR

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