regions

In many applications, spatial data often are prone to uncertainty and imprecision. To model this, fuzzy regions have been developed. Our initial model was a fuzzy set over a two dimensional domain, allowing for fuzzy regions and fuzzy points to be modelled. The model had some limitations: all points where treated independently, and it was not possible to group points together. Furthermore, it depended on meta-information to specify the interpretation. The model was extended to a level-2 fuzzy region to overcome these limitations; here the impact on the definition of the distance between regions will be considered