Two-Dimensional Fuzzy Spatial Relations: A New Way of Computing and Representation

Fuzziness is found everywhere, in modeling spatial relations, fuzziness is found at object level as well as in relation semantics. Commonly, fuzzy topological relations are computed between fuzzy objects. Fuzziness in relation semantics is represented by fuzzy topological relations between crisp obj...

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Main Authors: Nadeem Salamat, El-hadi Zahzah
Format: Article
Language:English
Published: Wiley 2012-01-01
Series:Advances in Fuzzy Systems
Online Access:http://dx.doi.org/10.1155/2012/167939
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author Nadeem Salamat
El-hadi Zahzah
author_facet Nadeem Salamat
El-hadi Zahzah
author_sort Nadeem Salamat
collection DOAJ
description Fuzziness is found everywhere, in modeling spatial relations, fuzziness is found at object level as well as in relation semantics. Commonly, fuzzy topological relations are computed between fuzzy objects. Fuzziness in relation semantics is represented by fuzzy topological relations between crisp objects and these types of fuzzy topological relations are much less developed. In this paper, we propose a method for combining fuzzy topological and directional relations. We also propose an algorithm for defuzzification of relations which provides us a binary topological and directional relation between a 2D object pair. These relations are represented in a neighborhood graph. For validation and assessment, a number of experiments have been performed on artificial data.
format Article
id doaj-art-6f68043b1a4048b7a89553172e7c2832
institution Kabale University
issn 1687-7101
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language English
publishDate 2012-01-01
publisher Wiley
record_format Article
series Advances in Fuzzy Systems
spelling doaj-art-6f68043b1a4048b7a89553172e7c28322025-02-03T05:44:40ZengWileyAdvances in Fuzzy Systems1687-71011687-711X2012-01-01201210.1155/2012/167939167939Two-Dimensional Fuzzy Spatial Relations: A New Way of Computing and RepresentationNadeem Salamat0El-hadi Zahzah1Mathematics, Image, and Applications (MIA) Laboratory, University of La Rochelle, 17000 La Rochelle, FranceMathematics, Image, and Applications (MIA) Laboratory, University of La Rochelle, 17000 La Rochelle, FranceFuzziness is found everywhere, in modeling spatial relations, fuzziness is found at object level as well as in relation semantics. Commonly, fuzzy topological relations are computed between fuzzy objects. Fuzziness in relation semantics is represented by fuzzy topological relations between crisp objects and these types of fuzzy topological relations are much less developed. In this paper, we propose a method for combining fuzzy topological and directional relations. We also propose an algorithm for defuzzification of relations which provides us a binary topological and directional relation between a 2D object pair. These relations are represented in a neighborhood graph. For validation and assessment, a number of experiments have been performed on artificial data.http://dx.doi.org/10.1155/2012/167939
spellingShingle Nadeem Salamat
El-hadi Zahzah
Two-Dimensional Fuzzy Spatial Relations: A New Way of Computing and Representation
Advances in Fuzzy Systems
title Two-Dimensional Fuzzy Spatial Relations: A New Way of Computing and Representation
title_full Two-Dimensional Fuzzy Spatial Relations: A New Way of Computing and Representation
title_fullStr Two-Dimensional Fuzzy Spatial Relations: A New Way of Computing and Representation
title_full_unstemmed Two-Dimensional Fuzzy Spatial Relations: A New Way of Computing and Representation
title_short Two-Dimensional Fuzzy Spatial Relations: A New Way of Computing and Representation
title_sort two dimensional fuzzy spatial relations a new way of computing and representation
url http://dx.doi.org/10.1155/2012/167939
work_keys_str_mv AT nadeemsalamat twodimensionalfuzzyspatialrelationsanewwayofcomputingandrepresentation
AT elhadizahzah twodimensionalfuzzyspatialrelationsanewwayofcomputingandrepresentation