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Inertial capability index based on fuzzy data

Published online by Cambridge University Press:  29 June 2011

B. S. Gildeh  and
S. Asghari
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Abstract

Process performance can be analyzed by using process capability indices (PCIs), which are summary statistics to depict the process location and dispersion successfully. In some cases, quality characteristic and target are not precise numbers and they are expressed in fuzzy terms, so that the classical capability indices cannot be applied. In this paper we obtain a confidence interval for inertial capability index Cpi (defined by [Pillet, TQM Mag. 16, 202–209 (2004)]) based on fuzzy data and propose a membership function for it.

Keywords

Confidence intervalDp,q - distancefuzzy random variablemembership functioninertial tolerancinginertial capability index
Type
Research Article
Information
International Journal of Metrology and Quality Engineering , Volume 2 , Issue 1 , 2011 , pp. 45 - 49
Copyright
© EDP Sciences 2011

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References

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