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


Disclaimer/Regarding indexing issue:

We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. 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.