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The risk assessment of landslide hazards in Shiwangmiao based on intuitionistic fuzzy sets-Topsis model

Author

Listed:
  • X. B. Gu

    (Nanyang Institute of Technology
    Guizhou Provincial Key Laboratory of Rock and Soil Mechanics and Engineering Safety)

  • Y. Ma

    (Nanyang Institute of Technology)

  • Q. H. Wu

    (Chengdu University)

  • X. J. Ji

    (Nanyang Institute of Technology)

  • H. Bai

    (Sichuan Expressway Construction and Development Group CO. LTD)

Abstract

The landslide hazard is one of the geological hazards in mountainous zone. Its occurrence is controlled by many factors. To assess the risk level of landslide in Shiwangmiao accurately, intuitionistic fuzzy sets-Topsis model is introduced at first; secondly, the decisive matrix about the intuitionistic fuzzy sets is established, and the index weight coefficients considering the uncertainty of assessment indices are determined by using the Entropy weight method, then the weighed decisive matrix is obtained. Finally, degree of membership at different levels about the landslide is determined based on the ranking sequence of degree of membership, the risk level corresponding to the maximum degree of membership is final assessment level. The conclusions are drawn that accurate rate of risk estimation about landslide hazards is very high based on the intuitionistic fuzzy sets model in comparison with the current specifications, and the method is feasible for the risk assessment of landslide hazards, so it provides a new method and thoughts to assess the risk level of landslide in future.

Suggested Citation

  • X. B. Gu & Y. Ma & Q. H. Wu & X. J. Ji & H. Bai, 2022. "The risk assessment of landslide hazards in Shiwangmiao based on intuitionistic fuzzy sets-Topsis model," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 111(1), pages 283-303, March.
    • Handle: RePEc:spr:nathaz:v:111:y:2022:i:1:d:10.1007_s11069-021-05053-5
    DOI: 10.1007/s11069-021-05053-5
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