Symbolic and Quantitative Approaches

Expressing Preferences from Generic Rules and Examples - A Possibilistic Approach Without Aggregation Function.- On the Qualitative Comparison of Sets of Positive and Negative Affects.- Argumentation Systems.- Symmetric Argumentation Frameworks.- Evaluating Argumentation Semantics with Respect to Skepticism Adequacy.- Logic of Dementia Guidelines in a Probabilistic Argumentation Framework.- Argument-Based Expansion Operators in Possibilistic Defeasible Logic Programming: Characterization and Logical Properties.- Gradual Valuation for Bipolar Argumentation Frameworks.- On the Acceptability of Arguments in Bipolar Argumentation Frameworks.- Inconsistency Handling.- A Modal Logic for Reasoning with Contradictory Beliefs Which Takes into Account the Number and the Reliability of the Sources.- A Possibilistic Inconsistency Handling in Answer Set Programming.- Measuring the Quality of Uncertain Information Using Possibilistic Logic.- Remedying Inconsistent Sets of Premises.- Measuring Inconsistency in Requirements Specifications.- Belief Revision and Merging.- Belief Revision of GIS Systems: The Results of REV!GIS.- Multiple Semi-revision in Possibilistic Logic.- A Local Fusion Method of Temporal Information.- Mediation Using m-States.- Combining Multiple Knowledge Bases by Negotiation: A Possibilistic Approach.- Conciliation and Consensus in Iterated Belief Merging.- An Argumentation Framework for Merging Conflicting Knowledge Bases: The Prioritized Case.- Belief Functions.- Probabilistic Transformations of Belief Functions.- Contextual Discounting of Belief Functions.- Fuzzy Models.- Bilattice-Based Squares and Triangles.- A New Algorithm to Compute Low T-Transitive Approximation of a Fuzzy Relation Preserving Symmetry. Comparisons with the T-Transitive Closure.- Computing a Transitive Opening of a Reflexive and Symmetric Fuzzy Relation.- Generating Fuzzy Models from Deep Knowledge: Robustness and Interpretability Issues.- Analysis of the TaSe-II TSK-Type Fuzzy System for Function Approximation.- Many-Valued Logical Systems.- Non-deterministic Semantics for Paraconsistent C-Systems.- Multi-valued Model Checking in Dense-Time.- Brun Normal Forms for Co-atomic ?ukasiewicz Logics.- Poset Representation for Gödel and Nilpotent Minimum Logics.- Uncertainty Logics.- Possibilistic Inductive Logic Programming.- Query Answering in Normal Logic Programs Under Uncertainty.- A Logical Treatment of Possibilistic Conditioning.- A Zero-Layer Based Fuzzy Probabilistic Logic for Conditional Probability.- A Logic with Coherent Conditional Probabilities.- Probabilistic Description Logic Programs.- Probabilistic Reasoning.- Coherent Restrictions of Vague Conditional Lower-Upper Probability Extensions.- Type Uncertainty in Ontologically-Grounded Qualitative Probabilistic Matching.- Some Theoretical Properties of Conditional Probability Assessments.- Unifying Logical and Probabilistic Reasoning.- Reasoning Models Under Uncertainty.- Possibility Theory for Reasoning About Uncertain Soft Constraints.- About the Processing of Possibilistic and Probabilistic Queries.- Conditional Deduction Under Uncertainty.- Heterogeneous Spatial Reasoning.- Uncertainty Measures.- A Notion of Comparative Probabilistic Entropy Based on the Possibilistic Specificity Ordering.- Consonant Random Sets: Structure and Properties.- Comparative Conditional Possibilities.- Second-Level Possibilistic Measures Induced by Random Variables.- Probabilistic Classifiers.- Hybrid Bayesian Estimation Trees Based on Label Semantics.- Selective Gaussian Naïve Bayes Model for Diffuse Large-B-Cell Lymphoma Classification: Some Improvements in Preprocessing and Variable Elimination.- Towards a Definition of Evaluation Criteria for Probabilistic Classifiers.- Methods to Determine the Branching Attribute in Bayesian Multinets Classifiers.- Classification and Clustering.- Qualitative Inference in Possibilistic Option Decision Trees.- Partially Supervised Learning by a Credal EM Approach.- Default Clustering from Sparse Data Sets.- New Technique for Initialization of Centres in TSK Clustering-Based Fuzzy Systems.- Industrial Applications.- Learning Methods for Air Traffic Management.- Molecular Fragment Mining for Drug Discovery.- Automatic Selection of Data Analysis Methods.