Geospatial Uncertainty Representation: Fuzzy and Rough Set Approaches

  • Frederick PetryEmail author
  • Paul Elmore
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 326)


Uncertainty in geospatial data is often considered in the context of geographical information systems which enable a variety of operations and manipulation of spatial data. Here we consider how both fuzzy set and rough set theory has been used to represent geospatial data with uncertainty. Terrain modeling and triangulated irregular networks techniques utilizing fuzzy sets are presented. Rough set theory is overviewed and its application to spatial data is described. Issues of uncertainty in the representation of spatial relationships such as topological and directional relationships are discussed.


Geographic information systems Spatial database Fuzzy sets Rough sets Triangulated irregular networks Indiscernibility relation Spatial relations Upper and lower approximations 



We would like to thank the Naval Research Laboratory’s Base Program, Program Element No. 0602435 N for sponsoring this research.


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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Marine Geosciences DivisionGeospatial Science and Technology BranchRaleighUSA
  2. 2.Naval Research LaboratoryStennis Space Center, MS 39529WashingtonUSA

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