Dempster-Shafer Theory: Combination of information using contextual knowledge

The aim of this paper is to investigate how to improve the process of information combination, using the Dempster-Shafer Theory (DST). In presence of an overload of information and an unknown environment, the reliability of the sources of information or the sensors is usually unknown and thus cannot be used to refine the fusion process. In a previous paper [1], the authors have investigated different techniques to evaluate contextual knowledge from a set of mass functions (membership of a BPA to a set of BPAs, relative reliabilities of BPAs, credibility degrees, etc.). The purpose of this paper is to investigate how to use the contextual knowledge in order to improve the fusion process.

[1]  Bjørnar Tessem,et al.  Approximations for Efficient Computation in the Theory of Evidence , 1993, Artif. Intell..

[2]  E.P. Blasch,et al.  Derivation of a Reliability Metric for Fused Data Decision Making , 2008, 2008 IEEE National Aerospace and Electronics Conference.

[3]  Christophe Osswald,et al.  Conflict measure for the discounting operation on belief functions , 2008, 2008 11th International Conference on Information Fusion.

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

[5]  Jean Dezert,et al.  Proportional Conflict Redistribution Rule , 2004, ArXiv.

[6]  Florentin Smarandache,et al.  Advances and Applications of DSmT for Information Fusion , 2004 .

[7]  Rolf Haenni,et al.  Are alternatives to Dempster's rule of combination real alternatives?: Comments on "About the belief function combination and the conflict management problem" - Lefevre et al , 2002, Inf. Fusion.

[8]  Christophe Osswald,et al.  Toward a combination rule to deal with partial conflict and specificity in belief functions theory , 2007, 2007 10th International Conference on Information Fusion.

[9]  Ren C. Luo,et al.  Multisensor integration and fusion in intelligent systems , 1989, IEEE Trans. Syst. Man Cybern..

[10]  N. Pal,et al.  QUANTIFICATION OF CONFLICT IN DEMPSTER-SHAFER FRAMEWORK: A NEW APPROACH , 1996 .

[11]  Branko Ristic,et al.  Global cost of assignment in the TBM framework for association of uncertain ID reports , 2007 .

[12]  Weiru Liu,et al.  Analyzing the degree of conflict among belief functions , 2006, Artif. Intell..

[13]  Éloi Bossé,et al.  A new distance between two bodies of evidence , 2001, Inf. Fusion.

[14]  Ronald R. Yager,et al.  On considerations of credibility of evidence , 1992, Int. J. Approx. Reason..

[15]  Christophe Osswald,et al.  Understanding the large family of Dempster-Shafer theory's fusion operators - a decision-based measure , 2006, 2006 9th International Conference on Information Fusion.

[16]  Éloi Bossé,et al.  Robust combination rules for evidence theory , 2009, Inf. Fusion.

[17]  Bernadette Bouchon-Meunier,et al.  A Similarity Measure between Basic Belief Assignments , 2006, 2006 9th International Conference on Information Fusion.