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Multi-model strategy based evidential soft sensor model for predicting evaluation of variables with uncertainty.

, , , , , and . Appl. Soft Comput., 11 (2): 2595-2610 (2011)

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Data and knowledge driven adaptive evidential soft sensor model for monitoring unmeasured parameters., , , and . ICONS, page 420-426. International Federation of Automatic Control, (2009)Mixture data-driven Takagi-Sugeno fuzzy model., , and . FSKD, page 24-30. IEEE, (2014)Automatic T-S fuzzy model with application to designing predictive controller., , and . Comput. Sci. Inf. Syst., 9 (4): 1577-1601 (2012)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)Improved Performance of EK-NNClus by Selecting Appropriate Parameter., and . BELIEF, volume 11069 of Lecture Notes in Computer Science, page 252-259. Springer, (2018)A convenient version of T-S fuzzy model with enhanced performance., , and . FSKD, page 1074-1079. IEEE, (2011)Parametric regression analysis of imprecise and uncertain data in the fuzzy belief function framework., , and . Int. J. Approx. Reasoning, 54 (8): 1217-1242 (2013)Immune genetic algorithm-based adaptive evidential model for estimating unmeasured parameter: Estimating levels of coal powder filling in ball mill., , and . Expert Syst. Appl., 37 (7): 5246-5258 (2010)Kernel based nonlinear fuzzy regression model., , and . Eng. Appl. of AI, 26 (2): 724-738 (2013)BPEC: Belief-Peaks Evidential Clustering., and . IEEE Trans. Fuzzy Systems, 27 (1): 111-123 (2019)