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Distributed Data Fusion for Detecting Sybil Attacks in VANETs.

, , , and . Belief Functions, volume 164 of Advances in Intelligent and Soft Computing, page 351-358. Springer, (2012)

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Statistical Inference with Belief Functions and Possibility Measures: A Discussion of Basic Assumptions., and . SMPS, volume 77 of Advances in Intelligent and Soft Computing, page 217-225. Springer, (2010)Partially-supervised learning in Independent Factor Analysis., , , and . ESANN, (2009)Theory of Belief Functions for Data Analysis and Machine Learning Applications: Review and Prospects.. KSEM, volume 6291 of Lecture Notes in Computer Science, page 3. Springer, (2010)Fuzzy Modelling of Sensor Data for the Estimation of an Origin-Destination Matrix., , , and . IFSA/EUSFLAT Conf., page 849-854. (2009)Decision fusion for postal address recognition using belief functions., , , and . Expert Syst. Appl., 36 (3): 5643-5653 (2009)Fusion of one-class classifiers in the belief function framework., and . FUSION, page 1-8. IEEE, (2007)Distributed Data Fusion for Detecting Sybil Attacks in VANETs., , , and . Belief Functions, volume 164 of Advances in Intelligent and Soft Computing, page 351-358. Springer, (2012)Handling Different Forms of Uncertainty in Regression Analysis: A Fuzzy Belief Structure Approach., and . ESCQARU, volume 1638 of Lecture Notes in Computer Science, page 340-351. Springer, (1999)Classification Using Belief Functions: Relationship Between Case-Based and Model-Based Approaches., and . IEEE Trans. Syst. Man Cybern. Part B, 36 (6): 1395-1406 (2006)Belief functions induced by random fuzzy sets: A general framework for representing uncertain and fuzzy evidence.. Fuzzy Sets Syst., (2021)