Fuzzy Evaluation Models for Accuracy and Precision Indices

Developing a Method for Increasing Accuracy and Precision in Measurement System Analysis: A Fuzzy Approach

Measurement systems analysis (MSA) has been applied in different aspect of industrial assessments to evaluate various types of quantitative and qualitative measures. Qualification of a measurement system depends on two important features: accuracy and precision. Since the capability of each quality system is severely related to the capability of its measurement system, the weakness of the two...

Fuzzy models for precision measurements

Engineering and scienti c measurement results of continuous quantities are not precise numbers but more or less non-precise. Therefore so-called non-precise numbers are necessary to describe measurement results. Non-precise numbers are special fuzzy subsets of the set of real numbers. For vector quantities so-called fuzzy vectors are the best up to date model for related measurements.

AccucheckInform II: About Its Accuracy and Precision

developing a method for increasing accuracy and precision in measurement system analysis: a fuzzy approach

measurement systems analysis (msa) has been applied in different aspect of industrial assessments to evaluate various types of quantitative and qualitative measures. qualification of a measurement system depends on two important features: accuracy and precision. since the capability of each quality system is severely related to the capability of its measurement system, the weakness of the two ...

Evaluation of Accuracy, Precision and Agreement of Five Hba1c Measurement Methods with HPLC Reference Method

ABSTRACT         Background and Objective: The current challenge of diabetes mellitus is to prevent its complications. These complications are directly associated with hyperglycemia in diabetics. The HbA1c measurement is essential for long-term glycemic control. Synchronization of HbA1c measurement is important in order to avoid discrepancies between resu...