Title :
A Research of Emergency Classification Based Fuzzy AHP and Cluster Analysis
Author :
Shasha, Song ; Feng, Dai ; Jingxu, Liu ; Baolu, Wei
Author_Institution :
Inst. of Inf. Eng., Inf. Eng. Univ., Zhengzhou, China
Abstract :
The traditional emergency classification is lack of dynamic analysis in emergency rescue and disaster incident management, it is difficult to accurately quantify the classification and providing practical guidance and scientific issues. In this paper, Fuzzy AHP and cluster analysis of the classification is researched, it can effectively integrate expert consensus, it can meet emergency requirements and reflect the dynamic classification in the emergencies.
Keywords :
disasters; emergency services; fuzzy set theory; pattern classification; pattern clustering; cluster analysis; disaster incident management; dynamic analysis; emergency classification research; emergency rescue; fuzzy AHP; Corporate acquisitions; Decision making; Fires; Gravity; Indexes; Risk management; Emergency; classification; cluster analysis; fuzzy analytic hierarchy process;
Conference_Titel :
Future Computer Science and Education (ICFCSE), 2011 International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4577-1562-4
DOI :
10.1109/ICFCSE.2011.161
