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Applications of Plausible, Paradoxical, and Neutrosophical Reasoning for Information Fusion (The Sixth International Conference on Information Fusion)
July 8-11, 2003
Radison Plaza Hotel at the Pier
Cairns, Queensland, Australia

Organizers
Chair: Dr. Jean Dezert, Co-Chair: Dr. Florentin Smarandache; Sponsors: Fusion 2003 Organizers, ONERA (France), University of New Mexico (USA)

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On the generation of hyper-powersets for the DSmT
by
Jean Dezert, Florentin Smarandache
ONERA, France

The recent theory of plausible and paradoxical reasoning (DSmT) developped by the authors appears to be a nice promising theoretical tools to solve many information fusion problems where a strong internal conflict between sources arise. The main idea of DSmT is to work on the hyper-powerset of the frame of discernment of the problem under consideration. Although the definition of hyper-powerset is well established, the major difficulty in practice is to generate such hyper-powerset in order to implement DSMT Fusion rule on computers. We propose in this paper an efficient algorithm for generating hyper-powersets and discuss the limitations of our computers to generate such sets when the dimension of the problem increases.

Date received: February 19, 2003

Copyright © 2003 by the author(s). The author(s) of this document and the organizers of the conference have granted their consent to include this abstract in Atlas Conferences Inc. Document # cajx-04.