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An evidential clustering algorithm by finding belief-peaks and disjoint neighborhoods.

, , , and . Pattern Recognit., (2021)

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Robust tuning of uncertainty and disturbance estimator-based control for stable processes with time delay., , and . J. Frankl. Inst., 360 (4): 2594-2616 (March 2023)Mixture data-driven Takagi-Sugeno fuzzy model., , and . FSKD, page 24-30. IEEE, (2014)Data and knowledge driven adaptive evidential soft sensor model for monitoring unmeasured parameters., , , and . ICONS, page 420-426. International Federation of Automatic Control, (2009)Constrained fuzzy evidential multivariate model identified by EM algorithm: a soft sensor to monitoring imprecise and uncertain process parameters., , , and . Soft Comput., 21 (6): 1619-1642 (2017)A Distributed Rough Evidential K-NN Classifier: Integrating Feature Reduction and Classification., , and . IEEE Trans. Fuzzy Syst., 29 (8): 2322-2335 (2021)An interactive nonparametric evidential regression algorithm with instance selection., , and . Soft Comput., 24 (5): 3125-3140 (2020)Cascade Disturbance Observer-Based Control Design for Cascaded Systems With Considerable Inner-Loop Dynamics., , , and . IEEE Trans Autom. Sci. Eng., (2025)E2CM: An Evolutionary Version of Evidential C-Means Clustering Algorithm., , , , and . BELIEF, volume 11069 of Lecture Notes in Computer Science, page 234-242. Springer, (2018)Kernel based nonlinear fuzzy regression model., , and . Eng. Appl. Artif. Intell., 26 (2): 724-738 (2013)Parametric regression analysis of imprecise and uncertain data in the fuzzy belief function framework., , and . Int. J. Approx. Reason., 54 (8): 1217-1242 (2013)