Assessment of data mining, multi-criteria decision making and fuzzy-computing techniques for spatial flood susceptibility mapping: a comparative study

Author:

Balogun Abdul-Lateef12ORCID,Sheng Tan Yong1,Sallehuddin Muhammad Helmy1,Aina Yusuf A.3ORCID,Dano Umar Lawal4ORCID,Pradhan Biswajeet5678ORCID,Yekeen Shamsudeen9,Tella Abdulwaheed10ORCID

Affiliation:

1. Geospatial Analysis and Modelling (GAM) Research Laboratory, Department of Civil and Environmental Engineering, Universiti Teknologi PETRONAS (UTP), Perak, Malaysia

2. Professional Services Department (Resources), Esri Australia, West Melbourne, Victoria, Australia

3. Department of Geomatics Engineering Technology, Yanbu Industrial College, Yanbu, Kingdom of Saudi Arabia.;

4. Department of Urban & Regional Planning, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia

5. Center for Advanced Modeling and Geospatial Information Systems (CAMGIS), Faculty of Engineering and IT, University of Technology Sydney, Sydney, New South Wales, Australia

6. Department of Energy and Mineral Resources Engineering, Sejong University, Seoul, Korea

7. Center of Excellence for Climate Change Research, Department of Meteorology, King Abdulaziz University, Jeddah, Saudi Arabia

8. Earth Observation Center, Institute of Climate Change, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia

9. Department of Geography, Environment, and Geomatics, University of Guelph, Ontario, Canada

10. Earth, Environment and Space Division, Foresight Institute of Research and Translation, Ibadan, Nigeria

Publisher

Informa UK Limited

Subject

Water Science and Technology,Geography, Planning and Development

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