| Advances and Applications of DSmT for Information Fusion (Collected works), second volume: Collected Works F Smarandache, J Dezert Infinite Study, 2006 | 940* | 2006 |
| Foundations for a new theory of plausible and paradoxical reasoning J Dezert Information and Security 9, 13-57, 2002 | 332 | 2002 |
| Information fusion based on new proportional conflict redistribution rules F Smarandache, J Dezert 2005 7th International Conference on Information Fusion 2, 8 pp., 2005 | 204 | 2005 |
| Combination of classifiers with optimal weight based on evidential reasoning ZG Liu, Q Pan, J Dezert, A Martin IEEE Transactions on Fuzzy Systems 26 (3), 1217-1230, 2017 | 164 | 2017 |
| Adaptive imputation of missing values for incomplete pattern classification Z Liu, Q Pan, J Dezert, A Martin Pattern Recognition 52, 85-95, 2016 | 155 | 2016 |
| Classifier fusion with contextual reliability evaluation Z Liu, Q Pan, J Dezert, JW Han, Y He IEEE transactions on cybernetics 48 (5), 1605-1618, 2017 | 152 | 2017 |
| A new belief-based K-nearest neighbor classification method Z Liu, Q Pan, J Dezert Pattern Recognition 46 (3), 834-844, 2013 | 147 | 2013 |
| Proportional conflict redistribution rules for information fusion J Dezert, F Smarandache Advances and applications of DSmT for Information Fusion-Collected works 2, 3-68, 2006 | 141 | 2006 |
| Combination of sources of evidence with different discounting factors based on a new dissimilarity measure Z Liu, J Dezert, Q Pan, G Mercier Decision Support Systems 52 (1), 133-141, 2011 | 137 | 2011 |
| Evidence combination from an evolutionary game theory perspective X Deng, D Han, J Dezert, Y Deng, Y Shyr IEEE transactions on cybernetics 46 (9), 2070-2082, 2015 | 129 | 2015 |
| Fusion of sources of evidence with different importances and reliabilities F Smarandache, J Dezert, JM Tacnet 2010 13th International Conference on Information Fusion, 1-8, 2010 | 119 | 2010 |
| On the validity of Dempster-Shafer theory J Dezert, P Wang, A Tchamova 2012 15th International Conference on Information Fusion, 655-660, 2012 | 116 | 2012 |
| Credal c-means clustering method based on belief functions Z Liu, Q Pan, J Dezert, G Mercier Knowledge-based systems 74, 119-132, 2015 | 113 | 2015 |
| On the generation of hyper-powersets for the DSmT J Dezert, F Smarandache Infinite Study, 2003 | 101 | 2003 |
| A new probabilistic transformation of belief mass assignment J Dezert, F Smarandache 2008 11th International Conference on Information Fusion, 1-8, 2008 | 99 | 2008 |
| Evidence combination based on credal belief redistribution for pattern classification ZG Liu, Y Liu, J Dezert, F Cuzzolin IEEE Transactions on Fuzzy Systems 28 (4), 618-631, 2019 | 90 | 2019 |
| Advances and applications of DSmT for information fusion J Dezert, F Smarandache Am. Res. Press, Rehoboth 1, 2004 | 82 | 2004 |
| A new incomplete pattern classification method based on evidential reasoning ZG Liu, Q Pan, G Mercier, J Dezert IEEE transactions on cybernetics 45 (4), 635-646, 2014 | 80 | 2014 |
| Credal classification rule for uncertain data based on belief functions Z Liu, Q Pan, J Dezert, G Mercier Pattern Recognition 47 (7), 2532-2541, 2014 | 79 | 2014 |
| On the validity of Dempster's fusion rule and its interpretation as a generalization of Bayesian fusion rule J Dezert, A Tchamova International Journal of Intelligent Systems 29 (3), 223-252, 2014 | 74 | 2014 |
Erik BlaschAir Force Research LabVerified email at wpafb.af.mil
