A DEA-TOPSIS METHOD FOR MULTIPLE CRITERIA DECISION ANALYSIS IN EMERGENCY MANAGEMENT

A hybrid approach of DEA （data envelopment analysis） and TOPSIS （technique for order performance （preference） by similarity to ideal solution） is proposed for multiple criteria decision analysis in emergency management. Two DEA-based optimization models are constructed to facilitate identifying para...

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Bibliographic Details
Published in:Journal of systems science and systems engineering 2009-12, Vol.18 (4), p.489-507
Main Authors: Chen, Ye, Li, Kevin W., Xu, Haiyan, Liu, Sifeng
Format: Article
Language:English
Subjects:
Complexity
DEA
Decision analysis
Disaster management
Economic Theory/Quantitative Economics/Mathematical Methods
Emergency management
Engineering
Multiple criterion
Operations Research/Decision Theory
Optimization models
Parameter identification
Qualitative analysis
TOPSIS法
决策分析
多准则
应急管理
数据包络分析
紧急情况
质量标准
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Description
Summary:A hybrid approach of DEA （data envelopment analysis） and TOPSIS （technique for order performance （preference） by similarity to ideal solution） is proposed for multiple criteria decision analysis in emergency management. Two DEA-based optimization models are constructed to facilitate identifying parameter information regarding criterion weights and quantifying qualitative criteria in TOPSIS. An emergency management case study utilizing data from the Emergency Management Australia （EMA） Disasters Database is provided to demonstrate the feasibility of the proposed analysis procedure.
ISSN:1004-3756
1861-9576
DOI:10.1007/s11518-009-5120-3