Mapping Slope Failure Potential Using Fuzzy Sets

By C. Juang, D. Lee, C. Sheu. 1992

How researchers see this paper

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

An easy-to-use MATLAB program (MamLand) for the assessment of landslide susceptibility using a Mamdani fuzzy algorithm (2012, methodology): “…above, several studies applying a Mamdani FIS have been performed using MATLAB and published by a number of researchers (i.e., Lee and Juang, 1992; Juang et al., 1992; Den Hartog et al., 1997; Alvarez Grima and Babuska, 1999; Gokceoglu, 2002; Kayabasi et al., 2003; Sonmez et al., 2004; Saboya et…”
Use of fuzzy relations to produce landslide susceptibility map of a landslide prone area (West Black Sea Region, Turkey) (2004, background): “The members of the fuzzy set are expressed after (/) and values before (/) are the degrees of confidence or ‘‘membership’’ of those numbers (Juang et al., 1992).”
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).”
Application of fuzzy set theory to evaluate the probability of failure in rock slopes (2012, methodology): “Especially, fuzzy set theory has been employed in several slope stability analyses (Juang and Lee, 1992; Lee and Juang, 1992; Davis and Keller, 1997; Juang et al., 1998; Dodagoudar and Venkatachalam, 2000; Giasi et al., 2003; Li and Mei, 2004).”