Landslide susceptibility mapping at Hoa Binh province (Vietnam) using an adaptive neuro-fuzzy inference system and GIS

By D. Tien Bui, Biswajeet Pradhan, O. Lofman, Inge Revhaug, Oystein B. Dick. Computational Geosciences, 2012

382 citations recorded by the source corpus.

Subfields: Environmental Engineering, Global and Planetary Change, Management, Monitoring, Policy and Law

View Paper: https://www.semanticscholar.org/paper/dd613a1791f40b46aeef591283192d8d4021751f

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In Environmental Engineering

In Global and Planetary Change

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Citations in the corpus

Application of analytical hierarchy process, frequency ratio, and certainty factor models for groundwater potential mapping using GIS (2015, methodology): “ROC curve analysis and it demonstrates the accuracy of a prediction system by describing the system’s ability to expect the correct occurrence or non-occurrence of pre-defined “events” (Bui et al. 2012; Jaafari et al. 2014).”
Remote sensing and GIS-based landslide susceptibility mapping using frequency ratio, logistic regression, and fuzzy logic methods at the central Zab basin, Iran (2015, methodology): “More recently, new techniques have been used for LSM such as neuro-fuzzy (Kanungo et al. 2006; Oh and Pradhan 2011; Pradhan 2013; Tien Bui et al. 2012), decision-tree (DT) methods (Pradhan 2013; Saito et al. 2009; Yeon et al. 2010), and support vector machine (SVM) (Brenning 2005; Peng et al. 2014;…”
Adaptive neuro-fuzzy inference system (ANFIS) modeling for landslide susceptibility assessment in a Mediterranean hilly area (2019, methodology): “However, in terms of LS assessment, this type of modeling has been used only in a few cases (Oh and Pradhan 2011; Sezer et al. 2011; TienBui et al. 2012; Sdao et al. 2013).”
Landslide susceptibility mapping by binary logistic regression, analytical hierarchy process, and statistical index models and assessment of their performances (2013, methodology): “Meanwhile, several investigators found overall accuracy rate relatively similar in some models such as FR, AHP, LR, and ANN (Jin et al. 2010; Park et al. 2012); conditional probability (CP), LR, ANN, and SVM (Yilmaz 2010); MCDA, SVM, and LR (Kavzoglu et al. 2013); heuristic and bivariate statistical”