Computer Science – Artificial Intelligence
Scientific paper
2006-10-31
Computer Science
Artificial Intelligence
11 pages. Presented to Cogis06 International Conference, Paris, France, 2006
Scientific paper
The management and combination of uncertain, imprecise, fuzzy and even paradoxical or high conflicting sources of information has always been and still remains of primal importance for the development of reliable information fusion systems. In this short survey paper, we present the theory of plausible and paradoxical reasoning, known as DSmT (Dezert-Smarandache Theory) in literature, developed for dealing with imprecise, uncertain and potentially highly conflicting sources of information. DSmT is a new paradigm shift for information fusion and recent publications have shown the interest and the potential ability of DSmT to solve fusion problems where Dempster's rule used in Dempster-Shafer Theory (DST) provides counter-intuitive results or fails to provide useful result at all. This paper is focused on the foundations of DSmT and on its main rules of combination (classic, hybrid and Proportional Conflict Redistribution rules). Shafer's model on which is based DST appears as a particular and specific case of DSm hybrid model which can be easily handled by DSmT as well. Several simple but illustrative examples are given throughout this paper to show the interest and the generality of this new theory.
Dezert Jean
Smarandache Florentin
No associations
LandOfFree
DSmT: A new paradigm shift for information fusion does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with DSmT: A new paradigm shift for information fusion, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and DSmT: A new paradigm shift for information fusion will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-47046