Table of Contents

• α-Junctions of Categorical Mass FunctionsJohn Klein, Mehena Loudahi, Jean-Marc Vannobel, Olivier Colot. 1-10 [doi]
• Truthfulness in Contextual Information CorrectionFrédéric Pichon, David Mercier, François Delmotte, Eric Lefevre. 11-20 [doi]
• The Choice of Generalized Dempster-Shafer Rules for Aggregating Belief Functions Based on Imprecision IndicesAndrey G. Bronevich, Igor N. Rozenberg. 21-28 [doi]
• General Schemes of Combining Rules and the Quality Characteristics of CombiningAlexander Lepskiy. 29-38 [doi]
• An Optimal Unified Combination RuleYanyan He, M. Yousuff Hussaini. 39-48 [doi]
• Evidential Logistic Regression for Binary SVM Classifier CalibrationPhilippe Xu, Franck Davoine, Thierry Denoeux. 49-57 [doi]
• The Evidence-Theoretic k-NN Rule for Rank-Ordered Data: Application to Predict an Individual's Source of LoanSupanika Leurcharusmee, Peerapat Jatukannyaprateep, Songsak Sriboonchitta, Thierry Denoeux. 58-67 [doi]
• Belief Hierarchical ClusteringWiem Maalel, Kuang Zhou, Arnaud Martin, Zied Elouedi. 68-76 [doi]
• Logistic Regression of Soft Labeled Instances via the Evidential EM AlgorithmBenjamin Quost. 77-86 [doi]
• Training and Evaluating Classifiers from Evidential Data: Application to E 2 M Decision Tree PruningNicolas Sutton-Charani, Sébastien Destercke, Thierry Denoeux. 87-94 [doi]
• Reflections on DS/AHP: Lessons to Be LearntMalcolm J. Beynon. 95-104 [doi]
• Evidential Database: A New Generalization of Databases?Ahmed Samet, Eric Lefèvre, Sadok Ben Yahia. 105-114 [doi]
• Belief Approach for Social NetworksSalma Ben Dhaou, Mouloud Kharoune, Arnaud Martin, Boutheina Ben Yaghlane. 115-123 [doi]
• Methods Handling Accident and Traffic Jam Information with Belief Functions in VANETsMira Bou Farah, David Mercier, François Delmotte, Eric Lefèvre, Sylvain Lagrue. 124-133 [doi]
• Designing a Belief Function-Based Accessibility Indicator to Improve Web Browsing for Disabled PeopleJean-Christophe Dubois, Yolande Le Gall, Arnaud Martin. 134-142 [doi]
• Belief Reasoning Model for Mapping Public Participation in Transport PlanningNopadon Kronprasert, Antti P. Talvitie. 143-152 [doi]
• Some Notes on Canonical Decomposition and Separability of a Belief FunctionXiaolu Ke, Liyao Ma, Yong Wang. 153-160 [doi]
• A Relational Representation of Belief FunctionsLiping Liu. 161-170 [doi]
• Modeling Qualitative Assessments under the Belief Function FrameworkAmel Ennaceur, Zied Elouedi, Eric Lefevre. 171-179 [doi]
• A Study on Generalising Bayesian Inference to Evidential ReasoningJian-Bo Yang, Dong-Ling Xu. 180-189 [doi]
• Partial Ranking by Incomplete Pairwise Comparisons Using Preference SubsetsJohan Schubert. 190-198 [doi]
• Mathematical Theory of Evidence in NavigationWlodzimierz Filipowicz. 199-208 [doi]
• Application of Belief Functions Theory to Non Destructive Testing of Industrial PiecesAhmad Osman, Valérie Kaftandjian, Ulf Hassler. 209-218 [doi]
• Predicting Stock Returns in the Capital Asset Pricing Model Using Quantile Regression and Belief FunctionsKittawit Autchariyapanitkul, Somsak Chanaim, Songsak Sriboonchitta, Thierry Denoeux. 219-226 [doi]
• Evidential Object Recognition Based on Information Gain MaximizationThomas Reineking, Kerstin Schill. 227-236 [doi]
• Evidence-Based Modelling of Organizational Social Capital with Incomplete Data: An NCaRBS AnalysisMalcolm J. Beynon, Rhys Andrews. 237-246 [doi]
• Outliers in Evidential C-Means: An Empirical Exploration Using Survey Data on Organizational Social CapitalMalcolm J. Beynon, Rhys Andrews. 247-255 [doi]
• Causal Compositional Models in Valuation-Based SystemsRadim Jirousek, Prakash P. Shenoy. 256-264 [doi]
• Merging Possibilistic Networks through a Disjunctive ModeFaiza Titouna, Salem Benferhat. 265-274 [doi]
• On the Estimation of Mass Functions Using Self Organizing MapsImen Hammami, Jean Dezert, Grégoire Mercier, Atef Hamouda. 275-283 [doi]
• Second-Order Belief Hidden Markov ModelsJungyeul Park, Mouna Chebbah, Siwar Jendoubi, Arnaud Martin. 284-293 [doi]
• Learning Parameters in Directed Evidential Networks with Conditional Belief FunctionsNarjes Ben Hariz, Boutheina Ben Yaghlane. 294-303 [doi]
• Econometric Forecasting Using Linear Regression and Belief FunctionsOrakanya Kanjanatarakul, Philai Lertpongpiroon, Sombat Singkharat, Songsak Sriboonchitta. 304-312 [doi]
• Modelling and Fusion of Imperfect Implication RulesJanith N. Heendeni, Kamal Premaratne, Manohar N. Murthi, Matthias Scheutz. 313-320 [doi]
• Conflict between Belief Functions: A New Measure Based on Their Non-conflicting PartsMilan Daniel. 321-330 [doi]
• On Marginal Problem in Evidence TheoryJirina Vejnarová. 331-338 [doi]
• Multi-Sensor Fusion Using Evidential SLAM for Navigating a Probe through Deep IceJoachim Clemens, Thomas Reineking. 339-347 [doi]
• Belief Fusion of Predictions of Industries in China's Stock MarketYongjun Xu, Lin Wu, Xianbin Wu, Zhiwei Xu. 348-355 [doi]
• An Evidential Fusion Rule for Ambient Intelligence for Activity RecognitionFaouzi Sebbak, Farid Benhammadi, Sofiane Bouznad, Abdelghani Chibani, Yacine Amirat. 356-364 [doi]
• Evidential Fusion for Sentiment Polarity ClassificationYaxin Bi. 365-373 [doi]
• On the Quality of Optimal Assignment for Data AssociationJean Dezert, Kaouthar Benameur. 374-382 [doi]
• Data Association for Object Enumeration Using Belief Function TheoryWafa Rekik, Sylvie Le Hégarat-Mascle, Cyrille André, Abdelaziz Kallel, Roger Reynaud, Ahmed Ben Hamida. 383-392 [doi]
• A Novel Methodology for Target Classification Based on Dempster-Shafer TheoryHasan Ihsan Turhan, Mubeccel Demirekler, Melih Gunay. 393-402 [doi]
• A New Parameterless Credal Method to Track-to-Track Assignment ProblemSamir Hachour, François Delmotte, David Mercier. 403-411 [doi]
• Geometric Interpretations of Conflict: A ViewpointThomas Burger. 412-421 [doi]
• Fast Computation of L p Norm-Based Specialization Distances between Bodies of EvidenceMehena Loudahi, John Klein, Jean-Marc Vannobel, Olivier Colot. 422-431 [doi]
• New Distance Measures of Evidence Based on Belief IntervalsDeqiang Han, Jean Dezert, Yi Yang. 432-441 [doi]