[1]. Marrapu BM, Jakka RS. Landslide hazard zonation methods: A critical Review. Int J Civ Eng Res. 2014;5(3):215–20.
[2]. Lin W-T, Chou W-C, Lin C-Y. Earthquake-induced landslide hazard and vegetation recovery assessment using remotely sensed data and a neural network-based classifier: a case study in central Taiwan. Nat hazards. 2008;47(3):331–47.
[3]. Hussin HY, Zumpano V, Reichenbach P, Sterlacchini S, Micu M, van Westen C, et al. Different landslide sampling strategies in a grid-based bi-variate statistical susceptibility model. Geomorphology. 2016;253:508–23.
[4]. Shadman Roodposhti M, Aryal J, Shahabi H, Safarrad T. Fuzzy shannon entropy: a hybrid GIS-based landslide susceptibility mapping method. Entropy. 2016;18(10):343.
[5]. Karimi H, Naderi F, Naseri B, Salajeqeh A. Comparisons of different models for landslide susceptibility mapping in Zangvan watershed, Ilam province. J Range Watershed Manag. 2014;67(3):459–85.
[6]. Young, O. C., Cheung, K. & J-Chul UC. The Comparative Research of Landslide Susceptibility Mapping Using FR, AHP, LR, ANN. In: conference Environmental Geology San Diego, CA. 2010.
[7]. Colkesen I, Sahin EK, Kavzoglu T. Susceptibility mapping of shallow landslides using kernel-based Gaussian process, support vector machines and logistic regression. J African Earth Sci. 2016;118:53–64.
[8]. Gorsevski P V, Brown MK, Panter K, Onasch CM, Simic A, Snyder J. Landslide detection and susceptibility mapping using LiDAR and an artificial neural network approach: a case study in the Cuyahoga Valley National Park, Ohio. Landslides. 2016;13(3):467–84.
[9]. Bui DT, Pradhan B, Revhaug I, Nguyen DB, Pham HV, Bui QN. A novel hybrid evidential belief function-based fuzzy logic model in spatial prediction of rainfall-induced shallow landslides in the Lang Son city area (Vietnam). Geomatics, Nat Hazards Risk. 2015;6(3):243–71.
[10]. Lian C, Zeng Z, Yao W, Tang H, Chen CLP. Landslide displacement prediction with uncertainty based on neural networks with random hidden weights. IEEE Trans neural networks Learn Syst. 2016;27(12):2683–95.
[11]. Chen W, He B, Zhang L, Nover D. Developing an integrated 2D and 3D WebGIS-based platform for effective landslide hazard management. Int J Disaster Risk Reduct. 2016;20:26–38.
[12]. Wang Y, Seijmonsbergen AC, Bouten W, Chen Q. Using statistical learning algorithms in regional landslide susceptibility zonation with limited landslide field data. J Mt Sci. 2015;12(2):268–88.
[13]. Moghimi, E., Yamani, M., and Vahimi S. Landslide hazard assessment and zoning in Roodbar using network analysis process. Quant Res. 2013;4:103–18.
[14]. Safaeepoor M, Shojaeean A, Atashafrooz N. Landslide Using AHP Model In GIS Case Study: Valley Village Qalandar Flour City Dehdez. 2016;9(31):105–18.
[15]. Nazmfar H, Behesti A. Application of Combined model analytical network process and fuzzy logic models in Landslide susceptibility zonation (Case Study: chellichay Catchment). Geogr Environ Plan. 2016;27(1):53–68.
[16]. Masomeh Rajabi, KHalil Valizaeh kamran H abedi gheshlaghi. Evaluation and zoning landslide hazard by using the analysis network process and artificial neural network (case study Azarshahr Chay basin). Quant Geomorphol Res. 2018;5(1):60–74.
[17]. Goetz JN, Brenning A, Petschko H, Leopold P. Evaluating machine learning and statistical prediction techniques for landslide susceptibility modeling. Comput Geosci. 2015;81:1–11.
[18]. Shahram Rostaei LKh. Assessment of Analysis Network Process and Logistic Regression in the Investigation of Landslide Potential in the Axis Range and Reservoir Dam (Case Study: Ghalea Chai Dam). Quant Geomorphol Res. 2018;5(3):67–80.
[19]. Hadi Nayeri, Mohammadreza Karami MS. Landslide hazard zonation by evaluating environmental variables using network analysis (case study: Bijar city). Quant Geomorphol Res. 2018;5(4):121–36.
[20]. Ali Akbar Matkan ARSP. Urban Waste Iandfill Site Selection by GIS (Case Study: Tabriz City). Environ Sci. 2009;6(2):121–32.
[21]. Salari M, Moazed H RF. Site Selection for Solid Waste by GIS & AHP-FUZZY Logic (Case Study: Shiraz City). J Toloo-e-behdasht. 2012;11(1):96–109.
[22]. M. Abedini, SH. Rostaeai MF. Landslides susceptibility mapping using hybrid model of Bayes’ theorem & ANP, Case Study: Ahar drainage basin South boundary (From Nasirabad to Sattar Khan dam). Quant Geomorphol Res. 2018;5(1):142–59.
)