A fuzzy sets theoretic approach to approximate spatial reasoning

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dc.contributor.author Li, S
dc.contributor.author Li, Y
dc.date.accessioned 2010-05-28T09:47:09Z
dc.date.issued 2004-01
dc.identifier.citation IEEE Transactions on Fuzzy Systems, 2004, 12 (6), pp. 745 - 754
dc.identifier.issn 1063-6706
dc.identifier.other C1UNSUBMIT en_US
dc.identifier.uri http://hdl.handle.net/10453/9051
dc.description.abstract Relational composition-based reasoning has become the most prevalent method for qualitative reasoning since Allen's 1983 work on temporal intervals. Underlying this reasoning technique is the concept of a jointly exhaustive and pairwise disjoint set of relations. Systems of relations such as RCC5 and RCC8 were originally developed for ideal regions, not subject to imperfections such as vagueness or fuzziness which are found in many applications in geographic analysis and image understanding. This paper, however, presents a general method for classifying binary topological relations involving fuzzy regions using the RCC5 or the RCC8 theory. Our approach is based on fuzzy set theory and the theory of consonant random set. Some complete classifications of topological relations between fuzzy regions are also given. Furthermore, two composition operators on spatial relations between fuzzy regions are introduced in this paper. These composition operators provide reasonable relational composition-based reasoning engine for spatial reasoning involving fuzzy regions.
dc.publisher IEEE Computational Intelligence Society
dc.relation.isbasedon 10.1109/TFUZZ.2004.836100
dc.title A fuzzy sets theoretic approach to approximate spatial reasoning
dc.type Journal Article
dc.parent IEEE Transactions on Fuzzy Systems
dc.journal.volume 6
dc.journal.volume 12
dc.journal.number 6 en_US
dc.publocation USA en_US
dc.identifier.startpage 745 en_US
dc.identifier.endpage 754 en_US
dc.cauo.name FEIT.School of Systems, Management and Leadership en_US
dc.conference Verified OK en_US
dc.for 0801 Artificial Intelligence and Image Processing
dc.personcode 106033
dc.percentage 100 en_US
dc.classification.name Artificial Intelligence and Image Processing en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom en_US
dc.date.activity en_US
dc.location.activity en_US
dc.description.keywords Consonant random set , fuzzy logic, fuzzy region mode, region connection calculus, relational composition, spatial relation en_US
dc.description.keywords Consonant random set , fuzzy logic, fuzzy region mode, region connection calculus, relational composition, spatial relation
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group /University of Technology Sydney/Strength - Quantum Computation and Intelligent Systems
utslib.copyright.status Closed Access
utslib.copyright.date 2015-04-15 12:17:09.805752+10


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