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Reviewed article

A Generalization of the Classic Combination Rules to DSm Hyper-power Sets

Milan Daniel
How to cite:
Milan Daniel
"A Generalization of the Classic Combination Rules to DSm Hyper-power Sets"
Information & Security: An International Journal,
20,
(2006):
50-64.
http://dx.doi.org/10.11610/isij.2002

A Generalization of the Classic Combination Rules to DSm Hyper-power Sets

20.02_Daniel.pdf

Authors:

Milan Daniel

Source:

Information & Security: An International Journal,
Volume: 20,
p.50-64
(2006)

Keywords:

Dempster-Shafer theory, Dempster’s rule, DSm model, DSm rule of combination, DSm theory, Dubois-Prade’s rule, hyper-power set, Yager’s rule

Abstract:

Dempster’s rule, Yager’s rule and Dubois-Prade’s rule for belief functions combination are generalized to be applicable to hyper-power sets according to the DSm theory. A comparison of the rules with DSm rule of combination is presented.

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16
Citations
Milan Daniel
"A Generalization of the minC Combination to DSm Hyper-power Sets."
11th IPMU International Conference
(2006):
L. Cholvy
"Non-exclusive hypotheses in Dempster-Shafer Theory."
International Journal of Approximate Reasoning
53,
no. 4
(2012):
493-501.
Milan Daniel
"Contribution of DSm Approach to the Belief Function Theory."
IPMU 2008 : 12th International Conference Information Processing and Management of Uncertainty for Knowledge-Based Systems
(2008):
Erik Blasch, Jean Dezert, P. Valin
"DSmT applied to seismic and acoustic sensor fusion."
IEEE National Aerospace and Electronics Conference, NAECON 2011
(2011):
Milan Daniel
"The DSm Approach as a Special Case of the Dempster-Shafer Theory."
Symbolic and Quantitative Approaches to Reasoning with Uncertainty. ECSQARU 2007. Lecture Notes in Computer Science
(2007):
381-392.
M. Zhuang, C. Yongmei, P. Quan, L. Zhunga, H. Jun
"An intelligent fusion method of sequential images based on improved DSmT for target recognition."
International Conference on Computational Aspects of Social Networks, CASoN'10
(2010):
Milan Daniel
"Classical Belief Conditioning and its Generalization to DSm Theory."
Journal of Uncertain Systems
2,
no. 4
(2008):
267-279.
L. Cholvy
"Using logic to understand relations between DSmT and Dempster-Shafer theory."
10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2009
(2009):
Milan Daniel
"Plausibility in DSmT."
Belief Functions: Theory and Applications, Proceedings of the 2nd International Conference on Belief Functions
(2012):
179-187.
U.K. Rakowsky, U. Gocht
"Reasoning in reliability-centred maintenance based on a Dempster—Shafer approach."
Journal of Risk and Reliability, Proceedings of the Institution of Mechanical Engineers, Part O
222,
no. 4
(2008):
605-612.
Erik Blasch, Youssif Al-Nashif, Salim Hariri
"Static versus dynamic data information fusion analysis using DDDAS for cyber security trust."
14th Annual International Conference on Computational Science, ICCS 2014
(2014):
Milan Daniel
"A Comparison of the Generalized minC Combination and the Hybrid DSm Combination Rules."
Advances and Applications of DSmT for Information Fusion (Collected works)
(2006):
Milan Daniel
"Analysis of DSm belief conditioning rules and extension of their applicability."
Advances and Applications of DSmT for Information Fusion (Collected works)
(2009):
Steven Israel, Erik Blasch
"Context Assumptions for Threat Assessment Systems."
Context-Enhanced Information Fusion. Advances in Computer Vision and Pattern Recognition
(2016):
Erik Blasch, Youakim Badr, Salim Hariri, Youssif Al-Nashif
"Fusion Trust Service Assessment for Crisis Management Environments."
Fusion Methodologies in Crisis Management
(2016):
Erik Blasch, Jean Dezert, B. Pannetier
"Overview of Dempster-Shafer and belief function tracking methods."
Signal Processing, Sensor Fusion, and Target Recognition XXI
(2013):