Application of a neuro-fuzzy model to landslide-susceptibility mapping for shallow landslides in a tropical hilly area

By Hyun-Joo Oh, Biswajeet Pradhan. Computational Geosciences, 2011

444 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/c737a2243d933e29c01f5f97929f213d7eff9c98

How researchers see this paper

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

In Global and Planetary Change

1. D. Tien Bui
2. Hamid Reza Pourghasemi
3. Biswajeet Pradhan
4. Wei Chen
5. Haoyuan Hong
6. Binh Thai Pham
7. Saro Lee
8. Huichan Chai

In Management, Monitoring, Policy and Law

1. Hamid Reza Pourghasemi
2. D. Tien Bui
3. Biswajeet Pradhan
4. Wei Chen
5. Haoyuan Hong
6. Binh Thai Pham
7. Huichan Chai
8. Saro Lee

In Mechanical Engineering

1. Hamid Reza Pourghasemi
2. D. Tien Bui
3. Biswajeet Pradhan
4. Wei Chen
5. Huichan Chai
6. Qiqing Wang
7. Haoyuan Hong
8. Saro Lee

Citations in the corpus

• Adaptive neuro-fuzzy inference system (ANFIS) modeling for landslide susceptibility assessment in a Mediterranean hilly area (2019, methodology): “Fuzzy inference is the process of mapping a given set of inputs to an output using fuzzy logic (Oh and Pradhan 2011).”
• Ensemble-based landslide susceptibility maps in Jinbu area, Korea (2012, methodology): “…2006; Shou et al. 2009; Tangestani 2009; Yalcin 2008; Yilmaz 2009, 2010a, b; Park 2011; Pradhan et al. 2010; Pradhan and Lee 2010b, 2010c; Pradhan 2011a, b; Suh et al. 2011; Wang et al. 2011; Akgun and Türk 2010; Choi et al. 2010; Oh et al. 2010; Oh and Pradhan 2011; Gorsevski and Jankowski 2010).”
• Landslide susceptibility mapping using support vector machine and GIS at the Golestan Province, Iran (2013, methodology): “…b; Yilmaz 2009a, b, 2010a, b; Zare et al. 2012; Bui et al. 2012b), neuro-fuzzy (Pradhan et al. 2010a; Vahidnia et al. 2010; Sezer et al. 2011; Oh and Pradhan 2011; Bui et al. 2012a), decision tree methods (Akgun et al. 2008; Akgun and Turk 2010; Nefeslioglu et al. 2010; Akgun 2011), spatial…”
• GIS-multicriteria decision analysis for landslide susceptibility mapping: comparing three methods for the Urmia lake basin, Iran (2012, methodology): “Lithology, DEM, slope, aspect, land cover, precipitation, distance to streams and the distance to roads and faults are the factors that are most often used for susceptibility mapping (Yalcin 2008; Thanh 2008; Chauhan et al. 2010; Feizizadeh et al. 2011; Oh and Pradhan 2011; Bai et al. 2011).”
• Assessment of the effects of training data selection on the landslide susceptibility mapping: a comparison between support vector machine (SVM), logistic regression (LR) and artificial neural networks (ANN) (2018, unknown): “Water convergence and divergence during the fl ow, which affect slope erosion processes, can be determined using plan curvature (Ercanoglu and Gokceoglu 2002; Oh and Pradhan 2011).”
• Landslide susceptibility mapping at Hoa Binh province (Vietnam) using an adaptive neuro-fuzzy inference system and GIS (2012, methodology): “Oh and Pradhan (2011) and Sezer et al. (2011) have also used an ANFIS based model for landslide susceptibility mapping in different parts of Malaysia.”