A Correspondence between Credal Partitions and Fuzzy Orthopartitions

Stefania Boffa and Davide Ciucci


A Distributional Approach for Soft Clustering Comparison and Evaluation

Andrea Campagner, Davide Ciucci and Thierry Denoeux


A practical strategy for valid partial prior-dependent possibilistic inference

Dominik Hose, Michael Hanss and Ryan Martin


A qualitative counterpart of belief functions with application to uncertainty propagation in safety cases

Yassir Idmessaoud, Jérémie Guiochet and Didier Dubois


A variational Bayesian clustering approach to acoustic emission interpretation including soft labels

Emmanuel Ramasso, Martin Mbarga Nkogo, Patrice Le Moal and Gilles Bourbon


Addressing ambiguity in randomized reinsurance contracts using belief functions

Davide Petturiti, Gabriele Stabile and Barbara Vantaggi


An Evidential  Neural Network Model for Regression Based on Random Fuzzy Numbers

Thierry Denoeux


An Intelligent System for Managing Uncertain Temporal Flood events

Manel Chehibi, Ahlem Ferchichi and Imed Riadh Farah


Belief functions on ordered frames of discernment

Arnaud Martin and Camille Noûs


Causal transfer evidential clustering

Kuang Zhou and Ming Jiang


Cluster Decomposition of the Body of Evidence

Alexander Lepskiy


Distributed EK-NN classification

Chaoyu Gong, Zhi-Gang Su, Qian Wang and Yang You


Evidential clustering by Competitive Agglomeration

Lulu Xu, Qian Wang, Peihong Wang and Zhigang Su


Evidential filtering and spatio-temporal gradient for micro-movements analysis in the context of bedsores prevention

Nicolas Sutton-Charani, Francis Faux, Didier Delignières, Willy Fagart, Arnaud Dupeyron and Marie Nourrisson


Evidential regression by synthesizing feature selection and parameters learning

Chao Liu, Zhi-Gang Su and Gang Zhao


Evidential Trustworthiness Estimation for Cooperative Perception

Antoine Lima, Veronique Cherfaoui and Philippe Bonnifait


Heterogeneous Image Fusion for Target Recognition based on Evidence Reasoning

Shuyue Wang, Zhunga Liu, Zuowei Zhang and Yang Li


Hybrid Artificial Immune Recognition System with improved belief classification process

Rihab Abdelkhalek and Zied Elouedi


Imperfect Labels with Belief Functions for Active Learning

Arthur Hoarau, Arnaud Martin, Jean-Christophe Dubois and Yolande Le Gall


Measure of Information Content of Basic Belief Assignments

Jean Dezert, Albena Tchamova and Deqiang Han


On Conditional Belief Functions in the Dempster-Shafer Theory

Radim Jiroušek, Václav Kratochvíl and Prakash P. Shenoy


On improving a group of evidential sources with different contextual corrections

Siti Mutmainah, Hachour Samir, Frédéric Pichon and David Mercier


On Modelling and Solving the Shortest Path Problem with Evidential Weights

Tuan-Anh Vu, Sohaib Afifi, Éric Lefèvre and Frédéric Pichon


Ordinal Classification using Single-model Evidential Extreme Learning Machine

Liyao Ma, Peng Wei and Bin Sun


Real bird dataset with imprecise and uncertain values

Constance Thierry, Arthur Hoarau, Arnaud Martin, Jean-Christophe Dubois and Yolande le Gall


Reliability-based imbalanced data classification with Dempster-Shafer theory

Hongpeng Tian, Zuowei Zhang, Zhunga Liu and Arnaud Martin


The Extension of Dempster’s Combination Rule Based on Generalized Credal Sets

Andrey G. Bronevich and Igor N. Rozenberg


Updating belief functions over Belnap–Dunn logic

Sajad Nazari, Sabine Frittella and Ondrej Majer


Valid inferential models offer performance and probativeness assurances

Leonardo Cella and Ryan Martin