Abstract
The theory of evidence is widely used to model uncertainty in many applications. Representation of relationship between evidence and hypothesis space are not obvious and is to be explored in many practical cases. Evidential mappings as relationship models are sort of belief assignments. The assignments engage binary and fuzzy sets with crisp, interval and fuzzy valued masses. In all cases reasoning mechanism available in Dempster-Shafer theory is used to depict relation between the mentioned spaces. In the paper interval valued masses with binary and fuzzy evidence representations are presented. The concept is exploited in order to solve floating objects detection.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Denoeux, T.: Modelling Vague Beliefs using Fuzzy Valued Belief Structures. Fuzzy Sets and Systems 116, 167–199 (2000)
Dubois, D., Prade, H.: Evidence, knowledge and belief functions. International Journal of Approximate Reasoning 6, 295–319 (1996)
Filipowicz, W., Neumann, T.: Detection and Coverage Problem. In: Zeszyty Naukowe Akademii Morskiej, pp. 10–18. Szczecin (2008)
Filipowicz, W.: Belief Structures in Position Fixing. In: Mikulski, J. (ed.) TST 2010. CCIS, vol. 104, pp. 434–446. Springer, Heidelberg (2010)
Filipowicz, W.: New Approach towards Position Fixing. Annual of Navigation 16, 41–54 (2010)
Filipowicz, W.: Belief Structures and their Application in Navigation. Methods of Applied Informatics 3, 53–82 (2009)
Filipowicz, W.: Evidence Representation and Reasoning in Selected Application. LNCS (to appear)
Lee, E.S., Zhu, Q.: Fuzzy and Evidence Reasoning. Physica-Verlag, Heidelberg (1995)
Liu, W., Hughes, J.G., McTear, M.F.: Representing Heuristic Knowledge and Propagating Beliefs in Dempster-Shafer Theory of Evidence. In: Federizzi, M., Kacprzyk, J., Yager, R.R. (eds.) Advances in the Dempster-Shafer Theory of Evidence. John Wiley and Sons, Inc., New York (1992)
Liu, W., Hughes, J.G., McTear, M.F.: Representing Heuristic Knowledge in D-S Theory. In: UAI 1992 Proceedings of the Eighth Conference on Uncertainty in Artificial Intelligence. Morgan Kaufmann Publishers Inc., San Francisco (1992)
Rutkowski, L.: Methods and Techniques of the Artificial Intelligence. PWN, Warsaw (2009)
Yager, R.: On the Normalization of Fuzzy Belief Structures. International Journal of Approximate Reasoning 14, 127–153 (1996)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Filipowicz, W. (2011). Managing Uncertainty in Maritime Applications. In: Mikulski, J. (eds) Modern Transport Telematics. TST 2011. Communications in Computer and Information Science, vol 239. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24660-9_3
Download citation
DOI: https://doi.org/10.1007/978-3-642-24660-9_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24659-3
Online ISBN: 978-3-642-24660-9
eBook Packages: Computer ScienceComputer Science (R0)