Biblio

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Filters: Автор is Florentin Smarandache  [Clear All Filters]
2015
"The effective use of the DSmT for multi-class classification." In Advances and Applications of DSmT for Information Fusion. Vol. IV: Collected Works., 2015.
Unification of Fusion Theories, Rules, Filters, Image Fusion and Target Tracking Methods (UFT). Columbus: The Educational Publisher, 2015.
Unification of Fusion Theories, Rules, Filters, Image Fusion and Target Tracking Methods (UFT). Columbus: The Educational Publisher, 2015.
2009
"New Fusion Rules for Solving Blackman’s Association Problem." In Advances and Applications of DSmT for Information Fusion (Collected works). Vol. III. American Research Press, Rehoboth, 2009.
New fusion rules for solving Blackman's association problem. American Research Press, Rehoboth, 2009.
"Object identification using T-conorm/norm fusion rule." In Advances and Applications of DSmT for Information Fusion (Collected works). Vol. III. American Research Press, Rehoboth, 2009.
"Tracking object's type changes with fuzzy based fusion rule." In First International Conference Modelling and Development of Intelligent Systems. Sibiu - Romania, 2009.
Unification of Fusion Theories and Rules, Filter Algorithms, and Target Tracking Methods for Applications to Air Force Problems., 2009.
2008
"A new class fusion rule for solving Blackman's association problem." In 4th International IEEE Conference Intelligent Systems, IS 2008. Varna; Bulgaria, 2008.
2006
C, Florea M., Jean Dezert, Valin P., Florentin Smarandache, and Anne-Laure Jousselme. Adaptative combination rule and proportional conflict redistribution rule for information fusion(link is external) In Cogis 2006 Conference. Paris France, 2006.
Dezert, Jean, and Florentin Smarandache. DSmT: A new paradigm shift for information fusion(link is external) In Cogis’06 conference. Paris France, 2006.
"Fusion of qualitative beliefs." In Advances and Applications of DSmT for Information Fusion. Collected Works ed. Vol. 2. American Research Press Rehoboth, 2006.
Fusion of qualitative beliefs using DSmT. Infinite Study, 2006.
"An in-depth look at quantitative information fusion rules." In Advances and Applications of DSmT for Information Fusion. American Research Press, Rehoboth, 2006.
"Introduction to the Fusion of Quantitative and Qualitative Beliefs." Information & Security: An International Journal 20 (2006): 9-49.
"A New Class of Fusion Rules Based on T-Conorm and T-Norm Fuzzy Operators." Information & Security: An International Journal 20 (2006): 65-82.
Smarandache, Florentin, and Jean Dezert. "Proportional Conflict Redistribution Rules for Information(link is external)." Advances and Applications of DSmT for Information (2006).
Dezert, Jean, Albena Tchamova, Florentin Smarandache, and Pavlina Konstantinova. Target Type Tracking(link is external) In Fusion 2006 conference. Firenze, Italy, 2006.
2005
Dezert, Jean, and Florentin Smarandache. The DSmT Approach for Information Fusion and Some Open Challenging Problems(link is external) In NATO ASI . Albena, Bulgaria, 2005.
Smarandache, Florentin, and Jean Dezert. Information Fusion Based on New Proportional Conflict(link is external) In Fusion 2005 Conference. Philadelphia, 2005.
Smarandache, Florentin, and Jean Dezert. An introduction to DSm Theory of Plausible, Paradoxist, Uncertain, and Imprecise Reasoning for Information Fusion(link is external) In WOSC 13th Int. Cong. of Cybernetics and System. Maribor, Slovenia, 2005.
Dezert, Jean, and Florentin Smarandache. A short overview on DSmT for Information Fusion(link is external) In 10th Int. Conf. on Fuzzy Theory and Techn. Salt Lake City, Utah, USA, 2005.
Smarandache, Florentin, and Jean Dezert. "A Simple Proportional Conflict Redistribution Rule(link is external)." International Journal of AppliedMathematics & Statistics 3, no. J05 (2005): 1-36.
2004
Smarandache, Florentin, and Jean Dezert. "Applications and Advances of DSmT for Information Fusion(link is external)." American Research Press, Rehoboth (2004).
Smarandache, Florentin, and Jean Dezert. "Applications and Advances of DSmT for Information Fusion(link is external)." American Research Press Rehoboth (2004).

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