Finally, a landslide inventory database was used to validate the LSM map by comparing it with known landslides within the study area. FMFs were then applied in order to determine the criteria weights to be used in the development of a landslide susceptibility map. Fuzzy set theory was first integrated with an analytical hierarchy process (AHP) in order to use pairwise comparisons to compare LSM criteria for ranking purposes. It makes use of nine causal landslide factors identified by local landslide experts. Our method is based on fuzzy membership functions (FMFs) derived from GIS analysis. We have developed a new multi-criteria decision analysis (MCDA) method for LSM and applied it to the Izeh River basin in south-western Iran. Landslide susceptibility mapping (LSM) is making increasing use of GIS-based spatial analysis in combination with multi-criteria evaluation (MCE) methods. Approximately 53% of known landslides within our study area fell within zones classified as having "very high susceptibility", with the further 31% falling into zones classified as having "high susceptibility".Ī GIS-based extended fuzzy multi-criteria evaluation for landslide susceptibility mapping Results indicated that the integration of fuzzy set theory with AHP produced significantly improved accuracies and a high level of reliability in the resulting landslide susceptibility map.
Hazmin, A Endut, H Juahir .Ī GIS-based extended fuzzy multi-criteria evaluation for landslide susceptibility mapping.įeizizadeh, Bakhtiar Shadman Roodposhti, Majid Jankowski, Piotr Blaschke, Thomas Multi-criteria decision analysis integrated with GIS for radio astronomical observatory site selection in peninsular of Malaysia. Multi-criteria decision analysis integrated with GIS for radio.
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