Erosion Modeling in a Raster-Based GIS with Fuzzy Logic

In recent years, fuzzy logic has been applied successfully to a wide range of problems. This paper shows how it can be utilized in the area of spatial reasoning, in particular geographic information systems. The problem that we address here is the prediction of erosion from factors such as slope, annual precipitation, etc. These factors are represented as maps in a GIS. The maps are converted into fuzzy sets and then given as input to a fuzzy rule-based system, which produces an erosion map as output.

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