Advances and Applications of DSmT for Information Fusion (Collected Works. Volume 5) F Smarandache, J Dezert, A Tchamova Infinite Study, 2023 | 998* | 2023 |
Foundations for a new theory of plausible and paradoxical reasoning J Dezert Information and Security 9, 13-57, 2002 | 355 | 2002 |
Advances and applications of DSmT for information fusion-Collected works-Volume 3 F Smarandache, J Dezert American Research Press 3, 760, 2009 | 270 | 2009 |
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 | 257 | 2017 |
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 | 244 | 2017 |
Information fusion based on new proportional conflict redistribution rules F Smarandache, J Dezert 2005 7th international conference on information fusion 2, 8 pp., 2005 | 234 | 2005 |
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 | 219 | 2019 |
Adaptive imputation of missing values for incomplete pattern classification Z Liu, Q Pan, J Dezert, A Martin Pattern Recognition 52, 85-95, 2016 | 216 | 2016 |
A new belief-based K-nearest neighbor classification method Z Liu, Q Pan, J Dezert Pattern recognition 46 (3), 834-844, 2013 | 189 | 2013 |
Proportional conflict redistribution rules for information fusion F Smarandache, J Dezert arXiv preprint cs/0408064, 2004 | 180 | 2004 |
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 | 169 | 2015 |
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 | 168 | 2011 |
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 | 162 | 2010 |
Credal c-means clustering method based on belief functions Z Liu, Q Pan, J Dezert, G Mercier Knowledge-based systems 74, 119-132, 2015 | 155 | 2015 |
On the validity of Dempster-Shafer theory J Dezert, P Wang, A Tchamova 2012 15th International Conference on Information Fusion, 655-660, 2012 | 154 | 2012 |
The SPOTIS rank reversal free method for multi-criteria decision-making support J Dezert, A Tchamova, D Han, JM Tacnet 2020 IEEE 23rd International Conference on Information Fusion (FUSION), 1-8, 2020 | 147 | 2020 |
Belief interval-based distance measures in the theory of belief functions D Han, J Dezert, Y Yang IEEE Transactions on Systems, Man, and Cybernetics: Systems 48 (6), 833-850, 2016 | 125 | 2016 |
A new probabilistic transformation of belief mass assignment J Dezert, F Smarandache 2008 11th International Conference on Information Fusion, 1-8, 2008 | 122 | 2008 |
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 | 106 | 2014 |
On the behavior of dempster's rule of combination and the foundations of dempster-shafer theory A Tchamova, J Dezert 2012 6th IEEE International Conference Intelligent Systems, 108-113, 2012 | 105 | 2012 |