Fuzzy Logic Integration for Landslide Hazard Mapping Using Spatial Data from Boeun, Korea
نویسندگان
چکیده
Since the early 1990s, the mathematical models have been developed and applied to landslide hazard mapping using GIS. Among various models, this paper discusses the effectiveness of fuzzy set theory for landslide hazard mapping. In this study, we collected several data sets related to landslide occurrences in Boeun, Korea, and then digitally represented as the fuzzy membership functions. To integrate them, fuzzy inference networks by using a variety of different fuzzy operators, especially combination of fuzzy OR and fuzzy γ operator, are designed, and experiments are carried out. Owing to the cross-validation based on the spatial portioning of the landslide distribution, we could quantitatively compare with various fuzzy inference networks designed for the influence of choice of γ value. The results show that the fuzzy set theory can integrate effectively various spatial data for landslide hazard mapping, and it is expected that some suggestions in this study are helpful to further real applications including integration, and interpretation stages in order to obtain a decision-supporting layer. * Corresponding author.
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