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Cluster Computing
Published in: Cluster Computing 2/2019

20-12-2017

An improved TOPSIS method for metro station evacuation strategy selection in interval type-2 fuzzy environment

Authors: Yanlan Mei, Kefan Xie

Published in: Cluster Computing | Special Issue 2/2019

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Abstract

With the constant growth of urban construction, metro station has being playing an increasingly important role in the public transportation system. To ensure the safe operation and the safety of the people, it is necessary to analyze how to select a suitable evacuation strategy while emergency event occurs in a metro station. The evacuation strategy selection can be regarded as a multiple criteria group decision making problem, which involves some conflict evaluation criteria. This paper presents an improved TOPSIS method to handle the evacuation strategy selection problem of metro station based on interval type-2 fuzzy sets. Firstly, the TOPSIS method in interval type-2 fuzzy environment is introduced. Then the evacuation strategy selection model and the calculation steps for metro station in emergency situation are constructed. Finally, a numerical example about the evacuation strategy selection along with a sensitivity analysis about the parameters and a comparison analysis with Chen’s research is provided to verify the efficiency of the proposed method.
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Metadata
Title
An improved TOPSIS method for metro station evacuation strategy selection in interval type-2 fuzzy environment
Authors
Yanlan Mei
Kefan Xie
Publication date
20-12-2017
Publisher
Springer US
Published in
Cluster Computing / Issue Special Issue 2/2019
Print ISSN: 1386-7857
Electronic ISSN: 1573-7543
DOI
https://doi.org/10.1007/s10586-017-1499-7

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