Open Access Open Access  Restricted Access Subscription or Fee Access

Comparing D_(p,q)-distance and Fuzzy Bootstrap with Defuzzification Techniques in control chart of Fuzzy mean

A. Shabani, Gh. Yari, E. Baloui Jamkhaneh

Abstract



Control charts are one of the most important tools in statistical process control that improve quality process and ensure required levels. In traditional control charts many quality characteristics like appearance, softness, color, etc cannot be expressed in numerical scale. Fuzzy sets theory is a powerful mathematical approach to analyze uncertain, ambiguous or incomplete information. Fuzzy control charts have been extended by converting fuzzy sets associated with uncertain values into scalars regarded as representative values. In this note, we will used the defuzzification methods and fuzzy bootstrap control chart in calculating of control limits fuzzy mean when the observations are triangular fuzzy numbers. We are representing α-cut control chart and fuzzy decision for in control or out of control of the process.

Full Text: PDF


Regarding indexing issue:

We have provided the online access of all issues & papers to the all  indexing agencies (as given on our journal home web site). It’s depend on indexing agencies when, how and what manner they can index or not. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information.