Mathematical Theory of Evidence in Navigation

Mathematical Theory of Evidence (MTE), also known as Belief Theory, exploits belief and plausibility measures and operates on belief assignments and belief structures. The theory also offers combination mechanisms in order to increase the informative context of the initial evidence. The evidence is meant as a collection of facts and knowledge. In navigation, facts are position indications delivered by various aids, and also results of observations such as taking bearings, distances or horizontal angles. Those facts are random variables governed by various distributions. Nautical knowledge embraces features of such distributions as well as discrepancies in their estimations. Awareness of systematic errors is also a part of a seafarer's knowledge. Whichever the conditions MTE combination scheme is expected to enable position fixing of the ship.

[1]  W. Filipowicz Evidence Representations in Position Fixing , 2012 .

[2]  Jerzy Mikulski Transport Systems Telematics - 10th Conference, TST 2010, Katowice - Ustron, Poland, October 20-23, 2010. Selected Papers , 2011, TST.

[3]  Peter McBurney,et al.  Using Belief Functions to Forecast Demand for Mobile Satellite Services , 2002 .

[4]  Thierry Denoeux,et al.  Modeling vague beliefs using fuzzy-valued belief structures , 2000, Fuzzy Sets Syst..

[5]  W. Filipowicz,et al.  An Application of Mathematical Theory of Evidence in Navigation , 2009 .

[6]  Włodzimierz Filipowicz Fuzzy Evidence Reasoning and Navigational Position Fixing , 2014 .

[7]  Ronald R. Yager,et al.  On the normalization of fuzzy belief structures , 1996, Int. J. Approx. Reason..

[8]  New Approach Towards Position Fixing , 2010 .

[9]  John Yen,et al.  Generalizing the Dempster-Schafer theory to fuzzy sets , 1990, IEEE Trans. Syst. Man Cybern..

[10]  Rajendra P. Srivastava,et al.  An Information Systems Security Risk Assessment Model Under the Dempster-Shafer Theory of Belief Functions , 2006, J. Manag. Inf. Syst..

[11]  Wlodzimierz Filipowicz Belief Structures in Position Fixing , 2010, TST.

[12]  N. Rescher A Theory of Evidence , 1958, Philosophy of Science.

[13]  Glenn Shafer,et al.  A Mathematical Theory of Evidence , 2020, A Mathematical Theory of Evidence.

[14]  Tadeusz M. Szuba,et al.  Computational Collective Intelligence , 2001, Lecture Notes in Computer Science.

[15]  Philippe Smets,et al.  Data association in multi‐target detection using the transferable belief model , 2001, Int. J. Intell. Syst..

[16]  Wlodzimierz Filipowicz Evidence Representation and Reasoning in Selected Applications , 2011, ICCCI.

[17]  Lakhmi C. Jain,et al.  Recent Advances in Knowledge-based Paradigms and Applications , 2014 .

[19]  Wlodzimierz Filipowicz Fuzzy Evidence in Terrestrial Navigation , 2011 .

[20]  W. Filipowicz On the mathematical theory of evidence in navigation , 2016 .

[21]  Arthur P. Dempster,et al.  A Generalization of Bayesian Inference , 1968, Classic Works of the Dempster-Shafer Theory of Belief Functions.

[22]  Włodzimierz Filipowicz Systematic Errors Handling with MTE , 2014 .

[23]  Rajendra P. Srivastava,et al.  An Expert System Approach to Audit Planning and Evaluation in the Belief-Function Framework , 1996, Intell. Syst. Account. Finance Manag..

[24]  Makoto Itoh,et al.  Theory of Evidence , 1998 .