Accuracy in Spatial Databases edited by
M. Goodchild and S. Gopal. The book addresses the problem of accuracy of spatial databases, and comprises of papers drawn from a wide range of physical and human systems, taking approaches which vary from statistical to descriptive. Together they present both a comprehensive review of existing knowledge, techniques and experience, and an analysis of critical research needs in this area of spatial data handling.

Fuzzy sets in Assessing Thematic Map Accuracy in GIS and Remote Sensing: Work with Curtis Woodcock. Traditionally, the classes in thematic maps have been treated as crisp sets, using classical set theory. In this formulation, map classes are assumed to be mutually exclusive and exhaustive. This approach limits the ability of thematic maps to represent the continuum of variation found in most landscapes. Substitution of fuzzy sets allows more flexibility for treatment of map classes in the areas of accuracy assessment and area estimation. Accuracy assessment methods based on fuzzy sets allow consideration of the magnitude of errors and
assessment of the frequency of ambiguity in map classes. Int. j. geographical information science, 2000, vol. 14, no. 2, 153-172. http://www.tandf.co.uk/journals/IJGIS