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This dissertation provides an interdisciplinary contribution to the project ReGLaNHealth & Logistics. The aim of this international cooperation is the development of a SDSS that supports decision makers working within health systems with a special focus on rural areas. In this dissertation, one important component (SPATTB) is proposed and described in detail. For the development the manageability of the type of data exemplarily given by (x,y,o) with coordinates (x,y) and Ozonconcentration o is not sufficient. It is described, that the manageable data has to be extended to data of type (x,y,f), where f is not only a numerical value but a functional description of a certain phenomenom. In this coherence certain mappings, socalled fuzzysets, are regarded. These mappings will be used with respect to additional geocoded data. The knowledge about the geocoded mapping information only at a finite set of locations (x,y) associated with mapping information f is not sufficient in applications that need continuous statements. Methods from the field of computer geometry and CAD, socalled Beziermethods, are used for interpolating this geocoded mapping information.
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