Application of fuzzy set theory for spatial prediction of landslide hazard

This work presents a fuzzy logic scheme to integrate multi-source spatial data for landslide hazard mapping. Main focus of This work is on fuzzy information representation based on frequency ratio and non-parametric density estimation. 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. A case study at Jangheung, Korea is presented to illustrate the proposed scheme.