DocumentCode :
3328449
Title :
Evaluation on the Safety of Chemical Industrial Parks Based on Membership Degree Transformation New Algorithm
Author :
Liu, Kai-Di ; Wang, Jin ; Ruan, Jun-Hu
Author_Institution :
Instn. of Uncertainty Math., Hebei Univ. of Eng., Handan, China
fYear :
2009
fDate :
6-7 June 2009
Firstpage :
52
Lastpage :
57
Abstract :
The core of fuzzy evaluation on the safety of chemical industrial park is membership degree transformation. But the transformation methods should be questioned, because redundant data in index membership degree is also used to compute object membership degree, which is not useful for object classification. The new algorithm is: using data mining technology based on entropy to mine knowledge information about object classification hidden in every index, affirm the relationship of object classification and index membership, eliminate the redundant data in index membership for object classification by defining distinguishable weight and extract valid values to compute object membership. The paper applied the new algorithm in the fuzzy evaluation on the safety of chemical industrial park.
Keywords :
chemical industry; data mining; fuzzy set theory; industrial plants; production engineering computing; safety; chemical industrial parks; data mining technology; entropy; fuzzy evaluation; index membership degree; knowledge information; membership degree transformation; safety; Chemical analysis; Chemical engineering; Chemical hazards; Chemical industry; Classification algorithms; Data engineering; Data mining; Entropy; Industrial relations; Product safety; comparable value; distinguishable weight; effective value; membership degree transformation; the safety of chemical industrial parks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Future Computer and Communication, 2009. FCC '09. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3676-7
Type :
conf
DOI :
10.1109/FCC.2009.48
Filename :
5235708
Link To Document :
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