DocumentCode :
2751476
Title :
Optimization Model for Locating City Fire Stations Based on Fuzzy Matter-Element Analysis
Author :
Xin, Jing ; Liu, Liwen ; Zhang, Guangjun ; Li, Wei ; Li, Xiangxin
Author_Institution :
Dept. of Fire Command, Chinese People´´s Armed Police Force Acad., Langfang, China
Volume :
4
fYear :
2009
fDate :
14-16 Aug. 2009
Firstpage :
346
Lastpage :
350
Abstract :
In view of the defects of location model for city fire stations with a simple evaluation index, an optimization model for locating city fire stations based on fuzzy matter-element analysis and Euclid approach degree is proposed in the paper. The model considers multiple evaluation indexes that incorporate both travel times and travel distances from stations to demand sites. In addition, the model considers other cost-related indexes. The weights of evaluation indexes are determined by information entropy and the scoring by experts, which could not only make full use of the inherent information of the indexes adequately, but reduce experts´ subjective assumption effectively. The result of the model indicates that the fuzzy matter-element analysis model seems to be an ideal technique that is applicable to the location problem of city fire station.
Keywords :
entropy; facility location; fuzzy set theory; optimisation; Euclid approach degree; city fire stations; cost-related indexes; fuzzy matter-element analysis; information entropy; location model; multiple evaluation indexes; optimization model; simple evaluation index; Cities and towns; Cost function; Decision making; Environmental economics; Fires; Fuzzy systems; Information entropy; Protection; Quantization; Safety;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3735-1
Type :
conf
DOI :
10.1109/FSKD.2009.915
Filename :
5359178
Link To Document :
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