Multi-index evaluation for flood disaster from sustainable perspective : A case study of Xinjiang in China

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

5 Scopus Citations
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  • Yudan Dou
  • Xiaolong Xue
  • Zebin Zhao
  • Ankang Ji
  • Ting Luo


Original languageEnglish
Article number1983
Journal / PublicationInternational Journal of Environmental Research and Public Health
Issue number9
Online published11 Sep 2018
Publication statusPublished - Sep 2018



The floods have undermined the sustainable construction of cities because of their sudden and destruction. To reduce the losses caused by floods, it is necessary to make a reasonable evaluation for historical floods and provide scientific guidance for future precaution. Previous research mainly used subjective/objective weights or barely made static analysis without considering the uncertainty and ambiguity of floods. Therefore, this study proposed a variable fuzzy recognition model, based on combined weights, to evaluate floods, including the determination of index weights and the choice of evaluation model. To make the index weights reflect both subjective experience and objective data, the combined weights were proposed and calculated based on the principle of minimum identification information. Then, the relative membership degree matrix and evaluation results can be worked out by the variable fuzzy recognition model. Conclusions indicated that the combined weights were more convincing than simply subjective or objective weights. Moreover, the variable fuzzy recognition model, by changing model parameters, got stable evaluation results of the sample data. Therefore, the model can improve the credibility of evaluation and the conclusions can provide reasonable suggestions for management departments.

Research Area(s)

  • Combined weights, Multi-index evaluation, Sustainable perspective, Variable fuzzy recognition model

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