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A DEA-TOPSIS method for multiple criteria decision analysis in emergency management

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Abstract

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.

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Author information

Authors and Affiliations

  1. College of Economics and Management, Nan**g University of Aeronautics and Astronautics, Nan**g, Jiangshu, 210016, China

    Ye Chen & Sifeng Liu

  2. Odette School of Business, University of Windsor, Windsor, Ontatio, N9B 3P4, Canada

    Kevin W. Li

  3. Department of Systems Design Engineering, University of Waterloo, Waterloo, Ontario, N2L 3G1, Canada

    Haiyan Xu

Authors
  1. Ye Chen
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  2. Kevin W. Li
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  3. Haiyan Xu
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  4. Sifeng Liu
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Corresponding author

Correspondence to Kevin W. Li.

Additional information

This work was supported by Natural Science Foundation of China under Grant No. 70901040 and 90924022, the Natural Sciences and Engineering Research Council of Canada (NSERC) under its Discovery Grant program, as well as an International & Development Research, Education & Training (IDRET) Seed Monies Grant from the University of Windsor.

Ye Chen is Professor of College of Economics and Management at the Nan**g University of Aeronautics and Astronautics, Nan**g, Jiangsu, China. Previously, he was a post-doctoral Fellow in the Department of Systems Design Engineering at the University of Waterloo, Waterloo, Ontario, Canada, where he received his PhD degree in 2006. His research interests include the development of classification techniques within the field of multiple criteria decision analysis and its applications to water resources, inventory management and elsewhere.Dr. Chen has written papers which have been published in journals including Computers and Operations Research, Decision Support Systems, IEEE Transactions on Systems, Man and Cybernetics, INFOR, OMEGA, Socio-Economic Planning Sciences and Journal of Systems Science and Systems Engineering.

Kevin W. Li received the B.Sc. degree in control sciences and M.A.Sc. degree in systems engineering from **amen University, **amen, China, in 1991 and 1994, respectively, and Ph.D. degree in systems design engineering from the University of Waterloo, Waterloo, Canada in 2003. Dr. Li is currently an associate professor in the Odette School of Business at the University of Windsor, Windsor, Canada. His research interests are concerned with finding equitable and sustainable solutions to complex decision problems at strategic and operational levels. His papers have been published in reputable journals such as Computers and Operations Research, European Journal of Operational Research, IEEE Transactions on Fuzzy Systems, IEEE Transactions on Systems, Man, and Cybernetics, Part A, International Journal of Production Economics, Journal of the Operational Research Society, and Water Resources Research. His research has been supported by a Natural Sciences and Engineering Research Council of Canada (NSERC) individual Discovery Grant and a number of internal grants at the University of Windsor.Dr. Li is a Senior Member of the IEEE and an active member of the Technical Committee on Conflict Resolution of the IEEE Systems, Man, and Cybernetics Society.

Haiyan Xu received the B.A.Sc. degree in Pure Mathematics from Nan**g University, Nan**g, China, the M.Sc. degree in Combinatorics and Optimization from the University of Waterloo, and the PhD degree in systems design engineering from the University of Waterloo, Waterloo, Canada. From 1999 to 2002, she was an Associate Professor in the Faculty of Science of Nan**g University of Aeronautics and Astronautics. She is currently a Postdoctoral Fellow in Systems Design Engineering at the University of Waterloo. Her research interests include conflict analysis, decision making, and mathematical modelling with applications in engineering. Her papers have been published in journals including IEEE Transactions on Systems, Man and Cybernetics, Discrete Applied Mathematics, Applied Mathematics and Computation, and Theory and Decision.

Sifeng Liu is a Distinguished Professor of College Economics and Management, Nan**g University of Aeronautics and Astronautics and the founding president of the Institute for Grey Systems Studies, the president of the Grey Systems Society of China, the Chair of IEEE Technical Committee on Grey Systems.Dr. Liu’s main scientific research activities are in grey systems theory and econometrics. He has directed projects of national, provincial or ministry level and international co-operation projects more than 50, published over 180 research papers and 16 works. Over the years, he has been awarded 12 provincial and national prizes for his outstanding achievements in scientific research and applications and selected as a scholar and expert with outstanding contributions of China, a distinguished professor of China.

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Chen, Y., Li, K.W., Xu, H. et al. A DEA-TOPSIS method for multiple criteria decision analysis in emergency management. J. Syst. Sci. Syst. Eng. 18, 489–507 (2009). https://doi.org/10.1007/s11518-009-5120-3

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