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

By E. Binaghi, L. Luzi, P. Madella, F. Pergalani, A. Rampini. 1998

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Wenping Li
2. Wei Chen
3. En-ke Hou
4. Huichan Chai
5. Xiao Ding
6. Husnu Sonmez
7. Xiaoqin Li
8. Xiaoshen Xie

Citations in the corpus

• GIS-based landslide susceptibility mapping using analytical hierarchy process (AHP) and certainty factor (CF) models for the Baozhong region of Baoji City, China (2015, methodology): “The CF model has been widely used in the literature for landslide susceptibility (Binaghi et al. 1998; Lan et al. 2004; Pourghasemi et al. 2012a, 2013c; Devkota et al. 2013).”
• Application of logistic regression for landslide susceptibility zoning of Cekmece Area, Istanbul, Turkey (2006, background): “Juang et al. 1992; Binaghi et al. 1998; Ercanoglu and Gokceoglu 2002).”
• Sample size matters: investigating the effect of sample size on a logistic regression susceptibility model for debris flows (2014, unknown): “…Corominas, 2001), soft computing techniques – such as “weights of evidence” (BonhamCarter, 1994; Neuhäuser and Terhorst, 2006) or “certainty factor” (e.g. Binaghi et al., 1998) – and artificial neural networks (e.g.Lee et al., 2003; Ermini et al., 2005; Liu et al., 2006), logistic regression…”