Theory of belief functions

  1. T. Denoeux. Uncertainty Measures in a Generalized Theory of Evidence. Fuzzy Sets and Systems, Vol. 520, 109546, 2025. pdf
  2. T. Denoeux. Combination of dependent and partially reliable Gaussian random fuzzy numbers. Information Sciences, Vol. 681, 121208, 2024. pdf
  3. T. Denoeux. Parametric families of continuous belief functions based on generalized Gaussian random fuzzy numbers. Fuzzy Sets and Systems, Vol. 471, 108679, 2023. pdf
  4. T. 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
  5. 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
  6. 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
  7. T. Denoeux. Distributed combination of belief functions. Information Fusion, Vol. 65, pages 179-191, 2021. pdf
  8. 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
  9. T. Denoeux. Decision-Making with Belief Functions: a Review. International Journal of Approximate Reasoning, Vol. 109, Pages 87-110, 2019. pdf
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. F. Pichon and T. Denoeux. The unnormalized Dempster's rule of combination: a new justification from the Least Commitment Principle and some extensions. Journal of Automated Reasoning, Vol. 45, Issue 1, pages 61-87, 2010. pdf
  16. 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
  17. T. Denoeux. Extending stochastic ordering to belief functions on the real line. Information Sciences, Vol. 179, pages 1362-1376, 2009. pdf
  18. 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
  19. 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
  20. 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
  21. 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
  22. T. Denoeux. Modeling vague beliefs using fuzzy-valued belief structures. Fuzzy Sets and Systems, 116(2):167-199, 2000. pdf
  23. T. Denoeux. Reasoning with imprecise belief structures. International Journal of Approximate Reasoning, 20:79-111, 1999. pdf