Abstract: A measurement control system en sures that measuring equipment and measurement processes are fit for their intended use and its importance in achieving product quality objectives. In most real life applications, the observations are fuzzy. In some case s specification limits (SLs) are not precise numbers and they are expressed in fuzzy terms, s o that the classical capability indices could not be applied. In this paper we obtain 100(1 - α)% fuzzy confidence interval for C pm fuzzy process capability index, where instead of precise quality we have two membership functions for specification limits.
Keywords: p,q-distance; Fuzzy set; Membership function; Process capability index; Triangular fuzzy number; Fuzzy random variable
Recieved: 10.02.2011 Accepted: 10.03.2011 UDC: 658.562