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A twofold fuzzy region model for imprecise (duality control of geographic information

Niels Charlier (UGent) , Guy De Tré (UGent) , Sidharta Gautama (UGent) and Rik Bellens (UGent)
Author
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Abstract
In this paper we propose a new data model for imperfect geographic information: a twofold fuzzy region model; which is an extension of both the fuzzy region model and the egg/yolk model. We show how it is meaningful and practically useful in representing the knowledge that results from classified pixel data. By defining different operators on the model we are able to develop an imprecise quality report for geographic databases that actually uses the imperfect classification data as a reference. This allows us, despite the large amount of imperfection in geographic classifications, to use them for rather accurate error detection on geographic databases.
Keywords
GIS, fuzzy sets, SETS, qualitative spatial reasoning, imperfect data modelling

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Chicago
Charlier, Niels, Guy De Tré, Sidharta Gautama, and Rik Bellens. 2008. “A Twofold Fuzzy Region Model for Imprecise (duality Control of Geographic Information.” In Lecture Notes in Computer Science, ed. O Gervasi and B Murgante, 5072:647–662. BERLIN: SPRINGER-VERLAG.
APA
Charlier, N., De Tré, G., Gautama, S., & Bellens, R. (2008). A twofold fuzzy region model for imprecise (duality control of geographic information. In O. Gervasi & B. Murgante (Eds.), LECTURE NOTES IN COMPUTER SCIENCE (Vol. 5072, pp. 647–662). Presented at the International Conference on Computational Science and Its Applications (ICCSA 2008), BERLIN: SPRINGER-VERLAG.
Vancouver
1.
Charlier N, De Tré G, Gautama S, Bellens R. A twofold fuzzy region model for imprecise (duality control of geographic information. In: Gervasi O, Murgante B, editors. LECTURE NOTES IN COMPUTER SCIENCE. BERLIN: SPRINGER-VERLAG; 2008. p. 647–62.
MLA
Charlier, Niels, Guy De Tré, Sidharta Gautama, et al. “A Twofold Fuzzy Region Model for Imprecise (duality Control of Geographic Information.” Lecture Notes in Computer Science. Ed. O Gervasi & B Murgante. Vol. 5072. BERLIN: SPRINGER-VERLAG, 2008. 647–662. Print.
@inproceedings{429039,
  abstract     = {In this paper we propose a new data model for imperfect geographic information: a twofold fuzzy region model; which is an extension of both the fuzzy region model and the egg/yolk model. We show how it is meaningful and practically useful in representing the knowledge that results from classified pixel data. By defining different operators on the model we are able to develop an imprecise quality report for geographic databases that actually uses the imperfect classification data as a reference. This allows us, despite the large amount of imperfection in geographic classifications, to use them for rather accurate error detection on geographic databases.},
  author       = {Charlier, Niels and De Tr{\'e}, Guy and Gautama, Sidharta and Bellens, Rik},
  booktitle    = {LECTURE NOTES IN COMPUTER SCIENCE},
  editor       = {Gervasi, O and Murgante, B},
  isbn         = {978-3-540-69838-8},
  issn         = {0302-9743},
  language     = {eng},
  location     = {Perugia, ITALY},
  pages        = {647--662},
  publisher    = {SPRINGER-VERLAG},
  title        = {A twofold fuzzy region model for imprecise (duality control of geographic information},
  volume       = {5072},
  year         = {2008},
}

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