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\i Plausibility in DSmT\i0  In \i Belief Functions: Theory and Applications, Proceedings of the 2nd International Conference on Belief Functions\i0 . Compi\'e8gne, France, 2012.\par \par "\i Analysis of DSm belief conditioning rules and extension of their applicability\i0 ." In \i Advances and Applications of DSmT for Information Fusion (Collected works)\i0 . Vol.  III. Infinite Study, 2009.\par \par "Classical Belief Conditioning and its Generalization to DSm Theory." \i Journal of Uncertain Systems\i0  2, no. 4 (2008): 267-279.\par \par \i Contribution of DSm Approach to the Belief Function Theory\i0  In \i IPMU 2008 : 12th International Conference Information Processing and Management of Uncertainty for Knowledge-Based Systems\i0 . Malaga, Spain, 2008.\par \par \i The DSm Approach as a Special Case of the Dempster-Shafer Theory\i0  In \i  Symbolic and Quantitative Approaches to Reasoning with Uncertainty. ECSQARU 2007. Lecture Notes in Computer Science\i0 . Vol. 4724. Berlin Heidelberg: Springer-Verlag, 2007.\par \par "\i A Comparison of the Generalized minC Combination and the Hybrid DSm Combination Rules\i0 ." In \i Advances and Applications of DSmT for Information Fusion (Collected works)\i0 . Vol. II. American Research Press, Rehoboth, 2006.\par \par "A Generalization of the Classic Combination Rules to DSm Hyper-power Sets." \i Information & Security: An International Journal\i0  20 (2006): 50-64.\par \par "\i A Generalization of the minC Combination to DSm Hyper-power Sets\i0 ." In \i 11th IPMU International Conference\i0 ., 2006.\par \par Daniel, Milan. " Associativity in Combination of belief functions; a derivation of minC combination." \i  Soft Computing\i0  (2003): 288-296.\par \par }