Uncertainty handling in navigation services using rough and fuzzy set theory

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Authors

  • Anahid Basiri
  • Pouria Amirian
  • Adam Winstanley
  • Colin Kuntzsch
  • Monika Sester

External Research Organisations

  • Maynooth University
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Details

Original languageEnglish
Title of host publicationProceedings of the 3rd ACM SIGSPATIAL International Workshop on Querying and Mining Uncertain Spatio-Temporal Data, QUeST 2012
Pages38-41
Number of pages4
Publication statusPublished - Dec 2012
Event3rd ACM SIGSPATIAL International Workshop on Querying and Mining Uncertain Spatio-Temporal Data, QUeST 2012 - Redondo Beach, CA, United States
Duration: 6 Nov 20126 Nov 2012

Publication series

NameProceedings of the 3rd ACM SIGSPATIAL International Workshop on Querying and Mining Uncertain Spatio-Temporal Data, QUeST 2012

Abstract

Navigation services, such as used in cars, are widely used nowadays. Many applications, positioning technologies and techniques have been developed to make navigation systems easier to use. However current navigation systems suffer from different aspects of uncertainty such as incomplete or inaccurate positional data. This paper reviews aspects of uncertainty which should be considered when developing navigation systems. A proposed approach, based on rough set and fuzzy set theories, is explained and implemented in an application.

Keywords

    fuzzy set theory, location based services, navigation services, rough set theory, spatio-temporal objects, uncertainty

ASJC Scopus subject areas

Cite this

Uncertainty handling in navigation services using rough and fuzzy set theory. / Basiri, Anahid; Amirian, Pouria; Winstanley, Adam et al.
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Querying and Mining Uncertain Spatio-Temporal Data, QUeST 2012. 2012. p. 38-41 (Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Querying and Mining Uncertain Spatio-Temporal Data, QUeST 2012).

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Basiri, A, Amirian, P, Winstanley, A, Kuntzsch, C & Sester, M 2012, Uncertainty handling in navigation services using rough and fuzzy set theory. in Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Querying and Mining Uncertain Spatio-Temporal Data, QUeST 2012. Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Querying and Mining Uncertain Spatio-Temporal Data, QUeST 2012, pp. 38-41, 3rd ACM SIGSPATIAL International Workshop on Querying and Mining Uncertain Spatio-Temporal Data, QUeST 2012, Redondo Beach, CA, United States, 6 Nov 2012. https://doi.org/10.1145/2442985.2442991
Basiri, A., Amirian, P., Winstanley, A., Kuntzsch, C., & Sester, M. (2012). Uncertainty handling in navigation services using rough and fuzzy set theory. In Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Querying and Mining Uncertain Spatio-Temporal Data, QUeST 2012 (pp. 38-41). (Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Querying and Mining Uncertain Spatio-Temporal Data, QUeST 2012). https://doi.org/10.1145/2442985.2442991
Basiri A, Amirian P, Winstanley A, Kuntzsch C, Sester M. Uncertainty handling in navigation services using rough and fuzzy set theory. In Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Querying and Mining Uncertain Spatio-Temporal Data, QUeST 2012. 2012. p. 38-41. (Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Querying and Mining Uncertain Spatio-Temporal Data, QUeST 2012). doi: 10.1145/2442985.2442991
Basiri, Anahid ; Amirian, Pouria ; Winstanley, Adam et al. / Uncertainty handling in navigation services using rough and fuzzy set theory. Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Querying and Mining Uncertain Spatio-Temporal Data, QUeST 2012. 2012. pp. 38-41 (Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Querying and Mining Uncertain Spatio-Temporal Data, QUeST 2012).
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