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Inner and Outer Approximation of Belief Structures Using a Hierarchical Clustering Approach.

. Int. J. Uncertain. Fuzziness Knowl. Based Syst., 9 (4): 437-460 (2001)

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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)Fusion of one-class classifiers in the belief function framework., and . FUSION, page 1-8. IEEE, (2007)Inner and Outer Approximation of Belief Structures Using a Hierarchical Clustering Approach.. Int. J. Uncertain. Fuzziness Knowl. Based Syst., 9 (4): 437-460 (2001)Ensemble clustering in the belief functions framework., and . Int. J. Approx. Reason., 52 (1): 92-109 (2011)Special issue on imprecision in statistical data analysis., and . Comput. Stat. Data Anal., (2014)NN-EVCLUS: Neural Network-based Evidential Clustering.. CoRR, (2020)Combining clusterings in the belief function framework., , and . Array, (2020)Identification of elastic properties in the belief function framework., , and . Int. J. Approx. Reason., (2018)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)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)