ABOUT DIFFERENT KINDS OF UNCERTAINTY IN COLLECTIONS OF SPATIAL DATA
Vincent Β. Robinson · 2008
We differentiate between two broad types of uncertainty. Type I uncertainty deals with our inability to measure or predict a characteristic or event with uncertainty, where the characteristic or event is inherently exact. In type II uncertainty, there is a situation of intrinsic ambiguity regarding the concept to represented. The many sources of the two types of uncertainty are listed. Methods of handling differing kinds of uncertainties contained in collections of spatial data are suggested. Due to recent advances and its ability to represent and process the vagueness of natural language concepts, fuzzy logic is identified as major area for future research in managing uncertainty in spatial information systems.