Treffer: Spatial reasoning under imprecision using fuzzy set theory, formai logics and mathematical morphology

Title:
Spatial reasoning under imprecision using fuzzy set theory, formai logics and mathematical morphology
Authors:
Source:
Advances in fuzzy sets and rough setsInternational journal of approximate reasoning. 41(2):77-95
Publisher Information:
Amsterdam: Elsevier, 2006.
Publication Year:
2006
Physical Description:
print, 63 ref
Original Material:
INIST-CNRS
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Ecole Nationale Supérieure des Télécommunications GET-ENST, Département TSI-CNRS UMR 5141 LTCI, 46 rue Barrault, 75013 Paris, France
ISSN:
0888-613X
Rights:
Copyright 2006 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.17693693
Database:
PASCAL Archive

Weitere Informationen

In spatial reasoning, in particular for applications in image understanding, structure recognition and computer vision, a lot of attention has to be paid to spatial relationships and to the imprecision attached to information and knowledge to be handled. Two main components are knowledge representation and reasoning. We show in this paper that the fuzzy set framework associated to the formalism provided by mathematical morphology and formal logics allows us to derive appropriate representations and reasoning tools.