A new hybrid model using Step-wise Weight Assessment Ratio Analysis (SWARA) technique and Adaptive Neuro-fuzzy Inference System (ANFIS) for regional landslide hazard assessment in Iran

By A. Dehnavi, Iman Nasiri Aghdam, Biswajeet Pradhan, Mohammad Hossein Morshed Varzandeh. 2015

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A comparative study of logistic model tree, random forest, and classification and regression tree models for spatial prediction of landslide susceptibility (2017, background): “…Pourghasemi et al., 2012; Pradhan, 2010; Sharma et al., 2013), fuzzy rule-based classifier (Pham et al., 2016; Tien Bui et al., 2014), neuro fuzzy (Dehnavi et al., 2015; Pradhan, 2013), multivariate adaptive regression splines (MARS) (Conoscenti et al., 2015; Felicísimo et al., 2013; Vorpahl et…”
Landslide susceptibility modelling using GIS-based machine learning techniques for Chongren County, Jiangxi Province, China. (2018, unknown): “, 2016), stepwise weight assessment ratio analysis technique (Dehnavi et al., 2015), ANN-fuzzy logic technique (Kanungo et al.”
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