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

Volumn , Issue , 2012, Pages 38-41

  Basiri, Anahid ^a   Amirian, Pouria ^a   Winstanley, Adam ^a   Kuntzsch, Colin ^b   Sester, Monika ^b  

^a NATIONAL UNIVERSITY OF IRELAND   (Ireland)

^b LEIBNIZ UNIVERSITY HANNOVER   (Germany)

Author keywords

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

Indexed keywords

NAVIGATION SERVICE; POSITIONING TECHNOLOGIES; SPATIO-TEMPORAL OBJECTS; UNCERTAINTY; UNCERTAINTY HANDLING;

LOCATION BASED SERVICES; NAVIGATION SYSTEMS; ROUGH SET THEORY;

FUZZY SET THEORY;

EID: 84875175506     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2442985.2442991     Document Type: Conference Paper

References (19)

1. Worboys M.F. 1998. Imprecision in finite resolution spatial data. GeoInformatica. 2(3): 257-279.
2. Arabacioglu, B. C. 2010. Using fuzzy inference system for architectural space analysis. Applied Soft Computing 10 (3): 926-937.
3. Tsitolovsky L., Sandler U. 2008. Neural Cell Behavior and Fuzzy Logic. Springer. ISBN ISBN 978-0-387-09542-4.
4. Pedrycz, W., Gomide, F. 2007. Fuzzy systems engineering: Toward Human-Centerd Computing. Hoboken: Wiley-Interscience. ISBN 978-0-471-78857-7.
5. Homnan, B. 2004. The performance analysis for fuzzy inference system-based adaptive soft handoff thresholds. TENCON 2004. 2004 IEEE Region 10 Conference. 533-536 Vol. 2.
6. Ramirez, E.M., Mayorga, R.V. 2008. On the Parameter Optimization of Fuzzy Inference Systems. International Journal of Information and Mathematical Sciences. 4:1.
7. Tan, K., Tokinaga, S. 1999. Optimization of Fuzzy Inference Rules by Using the Genetic Algorithm and its Application to the Bond Rating. Journal of Operations Society of Japan. Vol. 2. No 3.
8. Zadeh, L.A. 1965. Fuzzy sets, Information and Control. 8 338-353.
9. Pawlak, Z., Polkowski, L. 1991. Rough set: A tutorial.
10. Bowditch, N. 2002. The American Practical Navigator - Chapter 11 Satellite Navigation. United States government.
11. Rip, M.R., Hasik, J.M. 2008. The Precision Revolution: GPS and the Future of Aerial Warfare. Naval Press. ISBN 1-55750-973-5.
12. Bassiri, A., Malek, M.R., Amirian, P. 2012, Ambient shopping advertisement using rough service domain. Journal of Ambient Intelligence and Smart Environment, JAISE 4(2): 95-105.
13. Zadeh, L.A. 1975.The concept of a linguistic variable and its application to approximate reasoning. Information Sciences, Vol. 8, No 3. 199-249.
14. O'Hara, C., 2006, GPS SATELLITE SIGNAL LOCK LOSS PROBABILITY, Collection Mémoires et thèses électroniques, Laval Université, Canada.
15. Dubois, D., Prade, H., 1988, Possibility Theory, New York: Plenum
16. Shafer, G. 1976, A Mathematical Theory of Evidence. Princeton University Press, Princeton, New Jersey, USA.
17. Sugeno, M., 1977, Fuzzy measures and fuzzy integrals: a survey, (M.M. Gupta, G. N. Saridis, and B.R. Gaines, editors) Fuzzy Automata and Decision Processes, pp. 89-102, North-Holland, New York.
18. Bassiri, A., Malek, M.R., Alesheikh, 2008, Rough patiotemporal Topological Relationships, Computational Intelligence in Decision and Control, published by World Scientific Publisher.
19. Kosko B. 1992, Neural Networks and Fuzzy Systems - A Dynamic Systems Approach to Machine Intelligence. Prentice-Hall, Englewood Cliffs.