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Erschienen in:
2005 | OriginalPaper | Buchkapitel
Field Based Methods for the Modeling of Fuzzy Spatial Data
verfasst von : Jörg Verstraete, Guy De Tré, Rita De Caluwe, Axel Hallez
Erschienen in: Fuzzy Modeling with Spatial Information for Geographic Problems
Verlag: Springer Berlin Heidelberg
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In this chapter, two different field based techniques for the modeling of fuzzy information spread over a geographic region, are presented and are compared regarding their applicability. The first one is a vector-mode approach, using triangulated irregular networks (or TINs), the second one is a raster (bitmapmode) approach. Appropriate aggregation operators are defined in both approaches and illustrated by means of examples. The feasibility of the implementation of the operators (by approximation whenever required) is studied. Attention has been paid to the applicability, advantages and disadvantages of both methods in flexible querying.