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This paper focuses on the problem of monitoring/estimating process parameters in the insufficient case when only imprecise and uncertain information can be obtained, possibly due to limited precision and reliability of sensors in industries. To solve this problem, a constrained fuzzy evidential multivariate model is proposed as a soft sensor to monitor imprecise and uncertain process parameters. The...
In real engineering, the observations of process variables are usually imprecise, uncertain, or both. In such cases, the general process modeling approaches cannot be implemented. In this paper, we investigate on the parametric and nonparametric evidential regression of imprecise and uncertain data, represented as belief function on interval-valued variables. The parametric evidential regression includes...
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