Abstract
The aim of the study is to present utilization of Possibility theory to evaluate soft spatial queries on Fuzzy Surfaces. Fuzzy Surfaces are constructed from incomplete datasets or from data that contain uncertainty that is not of statistical nature. Soft spatial queries are common in geography because a lot of classes that should be found in the data have naturally vague definitions or are defined by expert opinion in term of interval rather than exact threshold. Soft thresholds and Surfaces with uncertainty can be expressed with use of Fuzzy Numbers. To evaluate their exceedance or ranking the procedures from Possibility theory are utilized. The whole concept is shown on a Case study. © 2013 Springer-Verlag.
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Caha, J., & Dvorský, J. (2013). Querying on fuzzy surfaces with vague queries. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8073 LNAI, pp. 548–557). https://doi.org/10.1007/978-3-642-40846-5_55
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