Paper Title:
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.

  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, Q. H. Dang, Z. J. Wu, "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
$32.00
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