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Application of Fuzzy Information Representation Using Frequency Ratio and Non-parametric Density Estimation to Multi-source Spatial Data Fusion for Landslide Hazard Mapping  

Park No-Wook (Geoscience Information Center, Korea Institute of Geoscience and Mineral Resources)
Chi Kwang-Hoon (Geoscience Information Center, Korea Institute of Geoscience and Mineral Resources)
Kwon Byung-Doo (Department of Earth Science Education, Seoul National University)
Publication Information
Journal of the Korean earth science society / v.26, no.2, 2005 , pp. 114-128 More about this Journal
Abstract
Fuzzy information representation of multi-source spatial data is applied to landslide hazard mapping. Information representation based on frequency ratio and non-parametric density estimation is used to construct fuzzy membership functions. Of particular interest is the representation of continuous data for preventing loss of information. The non-parametric density estimation method applied here is a Parzen window estimation that can directly use continuous data without any categorization procedure. The effect of the new continuous data representation method on the final integrated result is evaluated by a validation procedure. To illustrate the proposed scheme, a case study from Jangheung, Korea for landslide hazard mapping is presented. Analysis of the results indicates that the proposed methodology considerably improves prediction capabilities, as compared with the case in traditional continuous data representation.
Keywords
information representation; fuzzy logic fusion; density estimation; landslide hazard;
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