Fuzzy classification with a GIS as an aid to decision making

Abstract

In this paper, we discuss various aspects of using fuzzy classification with a GIS. In particular, we show how fuzzy membership functions to particular classes can be computed for composite regions composed of lots of smaller regions belonging to different classes and how variables taking values in ranges with different boundary conditions can be handled in a mathematically rigorous way. We demonstrate our methodology for the problem of assessing the risk of desertification of burned forest areas in the Mediterranean region.