- ابراهیمی، خدیجه؛ محمدجواد یزدی (1392). بررسی عوامل موثر در زمینلغزشهای کمعمق توسط برخی پارامترهای خاکی در زیرحوضه تول بنه.
کنفرانس علوم کشاورزی و محیط زیست. 6 ص.
- حنفی، علی؛ ایرج حاتمی (1392). تهیه نقشه اقلیمی استان کردستان با استفاده از سیستم اطلاعات جغرافیایی، مجله اطلاعات جغرافیایی (سپهر). دوره 22.
شماره 78. صفحات 28-24.
- شیرانی، کورش؛ علیرضا عربعامری (1394). پهنهبندی خطر وقوع زمینلغزش با استفاده از روش رگرسیون لجستیک (مطالعه موردی: حوضه دزعلی)، مجله علوم و فنون کشاورزی و منابع طبیعی.علوم آب و خاک. سال نوزدهم. شماره هفتاد و دوم. صفحات 334-321.
- عابدینی، موسی؛ بهاره قاسمیان؛ عطااله شیرزادی (1393). مدلسازی خطر وقوع زمین لغزش با استفاده از مدل آماری رگرسیون لجستیک (مطالعه موردی: استان کردستان، شهرستان بیجار)، مجله جغرافیا و توسعه. شماره 37. صفحات 102- 85.
- فعلهگری، محسن؛ علی طالبی؛ یاسر کیااشکوریان (1392). بررسی اثر جادهسازی در وقوع زمین لغزش با استفاده از مدل پایداری دامنه (FLAC SLOP) مطالعه: موردی حوضه آب خیز سد ایلام، مجله پژوهشهای حفاظت آب و خاک. جلد بیستم. شماره اول. گزارش کوتاه علمی. صفحات 240 -227.
- Acharya, G. (2011). Analyzing the Interactions between Water-induced Soil Erosion and Shallow Landslides, Department of Civil and Natural Resources Engineering University of Canterbury PhD thesis, 211 pp.
- Akgun, A., Turk, N. (2011). Mapping erosion susceptibility by a multivariate statistical method: a case study from the AyvalIk Region, NW Turkey. Computer Geosciences, 37, 1515–1524.
- Althuwaynee, O.F., Biswajeet, P., Park, H-J., Lee, J.H. (2014). A novel ensemble decision tree-based CHi-squared automatic interaction detection (CHAID)and multivariate logistic regression models in landslide susceptibility mapping. Landslides, 11(6), 1063–1078.
- Avanzi, G.D., Giannecchini, R, & Puccinelli, A. (2004). The influence of geological and geo -morphological settings on shallow landslides. An example in temperate climate environment: the June 19, 1996 event in northwestern Tuscany (Italy). Engineering Geology, 73, 215–228.
- Ayalew, L., Yamagishi, H. (2005). The application of GIS-based logistic regression for landslide susceptibility mapping in the Kakuda-Yahiko mountains, central Japan. Geomorphology, 65,15–31.
- Ballabio, C., Sterlacchini, S. (2012). Support vector machines for landslide susceptibility mapping: the Staffora River Basin case study, Italy. Mathematical Geosciences, 44, 47–70.
- Benda, L., and Dunne, T. (1997). Stochastic forcing of sediment supply to channel networks from landsliding and debris flow. Water Resources Research, 33, 2849–2863.
- Breiman, L. (2001). Random Forest. Machine Learning, 45, pp. 5-32.
- Dehnavi, A., Aghdam, I.N., Pradhan, B., Varzandeh, M.H.M. (2015). 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. Catena, 135, 122-148
- Dou, J., Yamagishi, H., Pourghasemi H-R., Yunus,A-P., Song, X., Xu, Y., Zhu, Zh. (2015). An integrated artificial neural network model for the landslide susceptibility assessment of Osado Island, Japan. Natural Hazards, 78:1749–1776.
- Dubois, D., Prade, H. (1990). Rough fuzzy sets and fuzzy rough sets.International Journal of General Systems, 17:191–209
- Fell, R., Corominas, J., Bonnard, C., Cascini, L., Leroi,E.,Savage,W(2008).Guidelines for landslide susceptibility, hazard and risk zoning for land-useplanning. Engineering Geology,102,99-111.
- Guo, C., Montgomery, D.R., Zhang, Y., Wang, K., Yang, Z. (2015). Quantitative assessment of landslide susceptibility along the Xianshuihe fault zone, Tibetan Plateau. China Geomorphology, 248, 93-110.
- Guzzetti, F., Reichenbach, P., Ardizzone, F., Cardinali, M., Galli, M. (2006). Estimating the quality of landslide susceptibility models. Geomorphology, 81, 166-184.
- Hunter, E., Matin, J., Stone, P(1966). Experiments in induction. Academic, New York.
- Jing-chun, X., Rui, L., Hui-wen, L., Zi-li, L. (2015). Analysis of landslide hazard area in Ludian earthquake based on Random Forests, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XL-7/W3, 36th International Symposium on Remote Sensing of Environment, Berlin, Germany, 865-869.
- Miao T.Y., Wang, M. (2015). Susceptibility Analysis of Earthquake-Induced Landslide Using Random Forest Method, International Conference on Computer Information Systems and Industrial Applications (CISIA), 771-775.
- Park, N-W.(2010). Application of Dempster-Shafer theory of evidence to GIS-based landslidesusceptibility analysis.
Environmental Earth Sciences, 62
(2), 367-376.
- Piao,Y., Piao, M., Hao, Jin, C., Sun, S-H., Chung, J-M., Hwang, B., Ho, R. (2015). A New Ensemble Method with Feature Space Partitioning for High-Dimensional Data Classification, Hindawi Publishing Corporation Mathematical Problems in Engineering, Article ID590678,13pp.
- Quinlan, J.R. (1993). C4.5: programs for machine learning. Morgan Kaufmann, San Mateo, CA, USA.
- Rickli, C., Graf, F. (2009). Effects of forests on shallow landslides; case studies in Switzerland.Forest, Snow and Landscape Research, 82(1), 33-44.
- Shirzadi, A., Saro, L., Hyun-Joo, Oh and Chapi, K. (2012). A GIS-based logistic regression model in rock fall susceptibility mapping along a mountainous road: Salavat Abad case study, Kurdistan, Iran. Natural Hazard, 64, 1639-1656.
- Sidle, R.C., Ochiai, H. (2006). Landslides: Processes, Prediction, and Land use. Water Resource Monograph: 18, AGU books, ISSN: 0170-9600.
- Sujatha,
E.R., Kumaravel, P., Rajamanickam,V.G. (2012). Landslide Susceptibility Mapping Using Remotely Sensed Data through Conditional Probability Analysis Using Seed Cell and Point Sampling Techniques.
Journal of the Indian Society of Remote Sensing, 40(4), 669-678.
- Tehrany, M.S., Pradhan, B., Jebur, M.N. (2014). Flood susceptibility mapping using a novel ensemble weights-of-evidence and support vector machine models in GIS. Journal of Hydrology, 512,332-343.
- Tien Bui, D., Pradhan, B., Lofman, O., Revhaug, I., (2012a). Landslide susceptibility assessment in Vietnam using Support vector machines, Decision tree and Naive Bayes models. Mathematical Problems in Engineering, http://dx.doi.org/ 10.1155/2012/974638, 2012.
- Tien Bui, D., Pradhan, B., Lofman, O., Revhaug, I., Dick, O.B.(2012b). Landslide susceptibility mapping at HoaBinh province (Vietnam) using an adaptive neuro fuzzy inference system and GIS. Computers & Geosciences, 45, 199–211.
- Tien Bui, D., Pradhan, B., Revhaug, I., Trung Tran, C. (2014). A comparative assessment between the application of fuzzy unordered rules induction algorithm and J48 Decision tree models in spatial prediction of shallow landslides at Lang Son City, Vietnam. In: Srivastava, P.K., Mukherjee, S., Gupta, M., Islam, T(Eds.), Remote Sensing Applications in Environmental Research. Springer International Publishing,
PP: 87–111.
- Tien Bui, D., Tuan, T.A., Klempe, H., Pradhan, B., Revhaug, I. (2015). Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines,artificial neural networks, kernel logistic regression, and logistic model tree. Landslides,
http://dx.doi.org/10.1007/s10346-015-0557-6.
- Tsangaratos, P., Benardos A. (2014). Estimating landslide susceptibility through an artificial neural networkclassifier.
NaturalHazards,74(3),1489-1516.
- Umar, Z., Pradhan, B., Ahmad, A., NeamahJebur, M.,ShafapourTehrany, M. (2014). Earthquake induced landslide susceptibility mapping using an integrated ensemble frequency ratio and logistic regression models in West Sumatera Province, Indonesia. Catena, 118, 124-135.
- Wang, L-J., Guo, M., Sawada K., Lin J., Zhang J. (2015). Landslide susceptibility mapping in Mizunami City, Japan: A comparison between logistic regression, bivariate statistical analysis and multivariate adaptive regression spline models. Catena, 135, 271–282.
- Wang, L-J., Sawada K., MoriguchiS.(2013). Landslide susceptibility analysis with logistic regression model based on FCM sampling strategy.Computers & Geosciences,57,81-92.
- Xu, C., Xu, X., Dai, F., Xiao, J., Tan, X., Yuan, R. (2012). Landslide hazard mapping using GIS and weight of evidence model in Qingshui River watershed of 2008 Wenchuan earthquake struck region. Journal of Earth Science, 23, 97–120.
Yalcin,A(2008