DocumentCode :
2966451
Title :
Research on Accident Early Warning Model Based on Entropy Weight and Extension Theory
Author :
Wang Kai ; Zhou Aitao ; Gao Han
Author_Institution :
Sch. of Resource & Safety Eng., China Univ. of Min. Technol. (Beijing), Beijing, China
fYear :
2011
fDate :
12-14 Aug. 2011
Firstpage :
1
Lastpage :
4
Abstract :
The occurrence of accident is influenced by multiple factors, so in the process of accident warning model construction, we should take full account of the relationships between all of the factors and the accident and the roles that these factors played in the accident. This paper constructs an accident warning model by employing the entropy weight and extension theory. On one hand, this model employs entropy weight theory to determine the weights of various factors, which will avoid the subjectivity of weights determination and the complexity of computing. On the other hand, it constructs accident warning classic and partial unit matter-elements with applying extension theory and method, and this step can avoid the possible subjectivity in this evaluation model by using comprehensive correlation degree as evaluation criteria. Finally, take coal and gas outburst accident as an example, the validity of the model is verified from the weights of various factors which cause outburst and outburst risk size. This is a new methodology in the process of accident warning model construction.
Keywords :
accidents; computational complexity; entropy; fuel processing industries; gas industry; accident early warning model; accident occurrence; coal and gas outburst accident; comprehensive correlation degree; computing complexity; entropy weight; extension theory; Accidents; Coal; Computational modeling; Correlation; Entropy; Indexes; Safety;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Management and Service Science (MASS), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6579-8
Type :
conf
DOI :
10.1109/ICMSS.2011.5998355
Filename :
5998355
Link To Document :
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