An heuristic approach for mapping landslide hazard by integrating fuzzy logic with analytic hierarchy process

This study presents an integration of fuzzy sets theory with analytic hierarchy process (AHP) to model landslide hazard. The approach involves developing expert knowledge from existing landslide datasets which are used for standardizing digital terrain attributes, a pairwise comparison method for the elicitation of attribute weights, and their subsequent aggregation through weighted linear combination and ordered weighted average function to generate landslide hazard maps. The approach enhances the methodology for modelling landslide hazard in the roaded and roadless areas through the derivation of probabilistic maps. The maps can be used as a decision support tool in forest management and planning. A case study from the Clearwater National Forest in central Idaho, USA, illustrates the application of the approach in a practical setting.