A comparative assessment of flood susceptibility modeling using Multi-Criteria Decision-Making Analysis and Machine Learning Methods Article

Khosravi, Khabat, Shahabi, Himan, Binh, Thai Pham et al. (2019). A comparative assessment of flood susceptibility modeling using Multi-Criteria Decision-Making Analysis and Machine Learning Methods . JOURNAL OF HYDROLOGY, 573 311-323. 10.1016/j.jhydrol.2019.03.073

ESI Most Cited Paper Industry Collaboration International Collaboration

cited authors

  • Khosravi, Khabat; Shahabi, Himan; Binh, Thai Pham; Adamowski, Jan; Shirzadi, Ataollah; Pradhan, Biswajeet; Dou, Jie; Ly, Hai-Bang; Grof, Gyula; Huu, Loc Ho; Hong, Haoyuan; Chapi, Kamran; Prakash, Indra

sustainable development goals

authors

publication date

  • June 1, 2019

published in

keywords

  • ARTIFICIAL-INTELLIGENCE APPROACH
  • COUNTY
  • China
  • DATA MINING TECHNIQUES
  • ENSEMBLE
  • Engineering
  • Engineering, Civil
  • FOREST
  • FREQUENCY RATIO
  • Flood susceptibility
  • GIS
  • Geology
  • Geosciences, Multidisciplinary
  • Machine Learning
  • Multi-Criteria Decision-Making
  • NAIVE BAYES TREE
  • Physical Sciences
  • RIVER-BASIN
  • Science & Technology
  • Technology
  • VIKOR
  • WEIGHTS-OF-EVIDENCE
  • Water Resources

Digital Object Identifier (DOI)

publisher

  • ELSEVIER

start page

  • 311

end page

  • 323

volume

  • 573