Fuzzy Spatial Representation
Fuzzy Spatial Representation is a formal method for modeling spatial entities and their relationships under conditions of uncertainty and imprecision by employing fuzzy set theory to represent indeterminate boundaries, vague spatial predicates, or graduated membership in geographic phenomena.
139
Publications
5.7K
Citations
282
Authors
156
Institutions
Publications per year
2017–2026
18
139
Spatial Models for Fuzzy Clustering
Dzung L. Pham · Computer Vision and Image Understanding · 2001 · 410 citations
Computing, Geography, Geoinformatics +13
Fuzzy spatial relation ontology for image interpretation
Céline Hudelot, Jamal Atif, Isabelle Bloch · Fuzzy Sets and Systems · 2008 · 215 citations
Computing, Geography, Geoinformatics +14
1–5 of 139
282
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4
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4
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1–5 of 282
156

Centre National de la Recherche Scientifique
Paris, France
5 h-index
9 publications
1K citations
University of Florida
Gainesville, United States
4 h-index
4 publications
94 citations

University of Toronto
Toronto, Canada
4 h-index
4 publications
234 citations

Télécom Paris
Palaiseau, France
4 h-index
8 publications
802 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
4 h-index
5 publications
365 citations
Laboratoire Traitement et Communication de l’Information
Palaiseau, France
4 h-index
8 publications
802 citations

University of Tehran
Tehran, Iran
3 h-index
7 publications
388 citations
FernUniversität in Hagen
Hagen, Germany
3 h-index
4 publications
79 citations
1–8 of 156
11 publications · 782 citations
11
h-index
11 publications · 568 citations
11
h-index
3 publications · 193 citations
3
h-index
CAGEO · 3 publications · 170 citations
3
h-index
3 publications · 93 citations
3
h-index
1–5