Implementation of multiple decision rules using random-fuzzy variables based on Yager´s t-norm

Though standards regarding metrological confirmation contain all requirements an organization has to satisfy to guarantee that measurements are performed with the desired accuracy level, nothing is said about multiple decision rules occurrences. In this paper we propose to use an approach with random-fuzzy variables based on Yager t-norm for proving conformance or non conformance with specifications for a desired level of confidence in the event the measurement algorithm contains multiple comparisons.