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
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