Belief Functions: Theory and Applications: 4th International Conference, BELIEF 2016, Prague, Czech Republic, September 21-23, 2016, Proceedings (Lecture Notes in Computer Science Book 9861)

This book constitutes the thoroughly refereed proceedings of the 4th International Conference on Belief Functions, BELIEF 2016, held in Prague, Czech Republic, in September 2016. The 25 revised full papers presented in this book were carefully selected and reviewed from 33 submissions. The papers describe recent developments of theoretical issues and applications in various areas such as combination rules; conflict management; generalized information theory; image processing; material sciences; navigation. Front Matter....Pages I-XI Front Matter....Pages 1-1 Entropy of Belief Functions in the Dempster-Shafer Theory: A New Perspective....Pages 3-13 A New Matrix Addition Rule for Combining Linear Belief Functions....Pages 14-24 On Internal Conflict as an External Conflict of a Decomposition of Evidence....Pages 25-34 Front Matter....Pages 35-35 Designing an Evidential Assertion Language for Multiple Analysts....Pages 37-45 A New ER-MCDA Mapping for Decision-Making Based on Imperfect Information....Pages 46-55 Applying ER-MCDA and BF-TOPSIS to Decide on Effectiveness of Torrent Protection....Pages 56-65 Decision-Making with Belief Interval Distance....Pages 66-74 The BF-TOPSIS Approach for Solving Non-classical MCDM Problems....Pages 75-83 Use of Evidence Theory in Fault Tree Analysis for Road Safety Inspection....Pages 84-93 Front Matter....Pages 95-95 Characterization of Experts in Crowdsourcing Platforms....Pages 97-104 SVM Classifier Fusion Using Belief Functions: Application to Hyperspectral Data Classification....Pages 105-112 Semi-supervised Evidential Label Propagation Algorithm for Graph Data....Pages 113-122 Front Matter....Pages 123-133 Conjunctive Rules in the Theory of Belief Functions and Their Justification Through Decisions Models....Pages 135-135 A Relationship of Conflicting Belief Masses to Open World Assumption....Pages 137-145 Idempotent Conjunctive Combination of Belief Functions by Distance Minimization....Pages 146-155 IPFP and Further Experiments....Pages 156-163 Entropy-Based Counter-Deception in Information Fusion....Pages 164-173 Identification of Elastic Properties Based on Belief Function Inference....Pages 174-181 D-S Theory for Argument Confidence Assessment....Pages 182-189 Front Matter....Pages 190-200 Evidential Correlated Gaussian Mixture Markov Model for Pixel Labeling Problem....Pages 201-201 The Capacitated Vehicle Routing Problem with Evidential Demands: A Belief-Constrained Programming Approach....Pages 203-211 An Evidential Pixel-Based Face Blurring Approach....Pages 212-221 Integrity Preserving Belief Update for Recursive Bayesian Tracking with Non-ideal Sensors....Pages 222-230 An Evidential RANSAC Algorithm and Its Application to GNSS Positioning....Pages 231-240 Back Matter....Pages 241-250 ....Pages 251-251