T. Denoeux. Parametric families of continuous belief functions based on generalized Gaussian random fuzzy numbers. Fuzzy Sets and Systems, Volume 471, 108679, 2023. pdf

Thierry Denoeux. Reasoning with fuzzy and uncertain evidence using epistemic random fuzzy sets: general framework and practical models. Fuzzy Sets and Systems, Vol. 453, Pages 1-36, 2023. pdf

A. Campagner, D. Ciucci and T. Denoeux. Belief Functions and Rough Sets: Survey and New Insights. International Journal of Approximate Reasoning, Vol. 143, Pages 192-215, 2022. pdf

T. Denoeux. Belief functions induced by random fuzzy sets: A general framework for representing uncertain and fuzzy evidence. Fuzzy Sets and Systems, Vol. 424, pages 63-91, 2021. pdf

T. Denoeux. Distributed combination of belief functions. Information Fusion, Vol. 65, pages 179-191, 2021. pdf

T. Denoeux and P. P. Shenoy. An Interval-Valued Utility Theory for Decision Making with Dempster-Shafer Belief Functions. International Journal of Approximate Reasoning, Vol. 124, pages 194-216, 2020. pdf

T. Denoeux. Decision-Making with Belief Functions: a Review. International Journal of Approximate Reasoning, Vol. 109, Pages 87-110, 2019. pdf

M.-H. Masson, S. Destercke and T. Denoeux. Modelling and predicting partial orders from pairwise belief functions. Soft Computing, Vol. 20, Issue 3, pp 939-950, 2016. pdf

T. Denoeux, N. El Zoghby, V. Cherfaoui and A. Jouglet. Optimal object association in the Dempster-Shafer framework. IEEE Transactions on Cybernetics, Vol. 44, Issue 22, pages 2521-2531, 2014. pdf

T. Denoeux and M.-H. Masson. Evidential reasoning in large partially ordered sets. Application to multi-label classification, ensemble clustering and preference aggregation. Annals of Operations Research, Volume 195, Issue 1, Page 135-161, 2012. pdf

F. Pichon, D. Dubois and T. Denoeux. Relevance and truthfulness in information correction and fusion. International Journal of Approximate Reasoning, Vol. 53, Issue 2, pages 159-175, 2012. pdf

G. Nassreddine, F. Abdallah and T. Denoeux. State estimation using interval analysis and belief function theory: Application to dynamic vehicle localization. IEEE Transactions on Systems, Man and Cybernetics B, vol. 40, Issue 5, pages 1205-1218, 2010. pdf

F. Pichon and T. Denoeux. The unnormalized Dempster's rule of combination: a new justification from the Least Commitment Principle and some extensions. Journal of Automated Reasoning, Vol. 45, Issue 1, pages 61-87, 2010. pdf

T. Denoeux, Z. Younes and F. Abdallah. Representing uncertainty on set-valued variables using belief functions. Artificial Intelligence, Vol. 174, Issues 7-8, pages 479-499, 2010. pdf

T. Denoeux. Extending stochastic ordering to belief functions on the real line. Information Sciences, Vol. 179, pages 1362-1376, 2009. pdf

T. Denoeux. Conjunctive and Disjunctive Combination of Belief Functions Induced by Non Distinct Bodies of Evidence. Artificial Intelligence, Vol. 172, pages 234–264, 2008. pdf

D. Mercier, B. Quost and T. Denoeux. Refined modeling of sensor reliability in the belief function framework using contextual discounting, Information Fusion, Vol. 9, Issue 2, pages 246–258, 2008. pdf

T. Denoeux and A. Ben Yaghlane. Approximating the Combination of Belief Functions using the Fast Moebius Transform in a coarsened frame. International Journal of Approximate Reasoning, Vol. 31, No. 1-2, 77-101, 2002. pdf

T. Denoeux. Inner and outer approximation of belief structures using a hierarchical clustering approach. Int. Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, Vol. 9, No. 4, 437-460, 2001. pdf

T. Denoeux. Modeling vague beliefs using fuzzy-valued belief structures. Fuzzy Sets and Systems, 116(2):167-199, 2000. pdf

T. Denoeux. Reasoning with imprecise belief structures. International Journal of Approximate Reasoning, 20:79-111, 1999. pdf