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Slope Instability Zonation: a Comparison Between Certainty Factor and Fuzzy Dempster–Shafer Approaches

Author

Listed:
  • E. Binaghi
  • L. Luzi
  • P. Madella
  • F. Pergalani
  • A. Rampini

Abstract

This paper presents a comparison between two methodologies for the evaluation of slope instability and the production of instability maps, using a probabilistic approach and a hybrid possibilistic and credibilistic approach. The first is the Certainty Factor method, and the second is based on Fuzzy Logic integrated with the Dempster–Shafer theory. These methodologies are applied to the 1 : 50,000 scale Fabriano (Marche, Italy) geological map sheet. The results are represented as histograms where the accuracy of the prediction is shown, and the comparison of the results of the methods is discussed. Copyright Kluwer Academic Publishers 1998

Suggested Citation

  • E. Binaghi & L. Luzi & P. Madella & F. Pergalani & A. Rampini, 1998. "Slope Instability Zonation: a Comparison Between Certainty Factor and Fuzzy Dempster–Shafer Approaches," 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. 17(1), pages 77-97, January.
    • Handle: RePEc:spr:nathaz:v:17:y:1998:i:1:p:77-97
    DOI: 10.1023/A:1008001724538
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    Citations

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    Cited by:

    1. L. Luzi & F. Pergalani, 1999. "Slope Instability in Static and Dynamic Conditions for Urban Planning: the ‘Oltre Po Pavese’ Case History (Regione Lombardia – Italy)," 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. 20(1), pages 57-82, July.
    2. Rodeano Roslee & Alvyn Clancey Mickey & Norbert Simon & Mohd. Norazman Norhisham, 2017. "Landslide susceptibility analysis lsa using weighted overlay method wom along the genting sempah to bentong highway pahang," Malaysian Journal of Geosciences (MJG), Zibeline International Publishing, vol. 1(2), pages 13-19, September.
    3. Paraskevas Tsangaratos & Andreas Benardos, 2014. "Estimating landslide susceptibility through a artificial neural network classifier," 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. 74(3), pages 1489-1516, December.
    4. Jie Dou & Ali P. Yunus & Yueren Xu & Zhongfan Zhu & Chi-Wen Chen & Mehebub Sahana & Khabat Khosravi & Yong Yang & Binh Thai Pham, 2019. "Torrential rainfall-triggered shallow landslide characteristics and susceptibility assessment using ensemble data-driven models in the Dongjiang Reservoir Watershed, China," 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. 97(2), pages 579-609, June.
    5. E. Binaghi & M. Boschetti & P.A. Brivio & I. Gallo & F. Pergalani & A. Rampini, 2004. "Prediction of Displacements in Unstable Areas Using a Neural 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. 32(1), pages 135-154, May.
    6. TH. Gournellos & N. Evelpidou & A. Vassilopoulos, 2004. "Developing an Erosion Risk Map Using Soft Computing Methods (Case Study at Sifnos Island)," 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. 31(1), pages 63-83, January.
    7. Jie Dou & Hiromitsu Yamagishi & Hamid Pourghasemi & Ali Yunus & Xuan Song & Yueren Xu & Zhongfan Zhu, 2015. "An integrated artificial neural network model for the landslide susceptibility assessment of Osado Island, Japan," 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. 78(3), pages 1749-1776, September.

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