Mining Model of Fuzzy Association Rules and its Application in Calciner

Abstract:

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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.

Info:

Periodical:

Advanced Materials Research (Volumes 219-220)

Edited by:

Helen Zhang, Gang Shen and David Jin

Pages:

904-907

DOI:

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

Citation:

J. Wang et al., "Mining Model of Fuzzy Association Rules and its Application in Calciner", Advanced Materials Research, Vols. 219-220, pp. 904-907, 2011

Online since:

March 2011

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Price:

$35.00

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