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

• Main Authors: Balogun, A.-L., Sheng, T.Y., Sallehuddin, M.H., Aina, Y.A., Dano, U.L., Pradhan, B., Yekeen, S., Tella, A.
• Format: Article
• Published: Taylor and Francis Ltd. 2022
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130606737&doi=10.1080%2f10106049.2022.2076910&partnerID=40&md5=96c3345d3cba70741cb4bb892185f466; http://eprints.utp.edu.my/33201/
• Institution: Universiti Teknologi Petronas

This study develops an Adaboost-GIS model for flood susceptibility mapping and evaluates its relative performance by undertaking a comparative assessment of the machine learning model with Multi-Criteria Decision Making (MCDM) and soft computing models integrated with GIS. An Analytic Hierarchy Proc...