Publication Date:
2013-09-14
Description:
In a process using monitoring with p-control charts or np-control charts, due to the uncertainty of the attribute data, traditional control charts may be insufficient. In this case, fuzzy control charts are pertinent control techniques used to capture vagueness. Many studies in the literature are configured with transformation techniques at the decision stage, and in this study, fuzzy control charts are constructed using rules. Therefore, fully fuzzy control charts are first introduced for fuzzy [( p )\tilde]-control charts based on constant sample size and variable sample size, and fuzzy n [( p )\tilde]-control charts are subsequently introduced using decision rules for the process state conditions. Therefore, “rather in control” and “rather out of control” decisions can be considered in monitoring of the process. Content Type Journal Article Pages - DOI 10.3233/IFS-130986 Authors Nihal Erginel, Industrial Engineering Department, Anadolu University, Eskisehir, Turkey Journal Journal of Intelligent and Fuzzy Systems Online ISSN 1875-8967 Print ISSN 1064-1246
Print ISSN:
1064-1246
Topics:
Mathematics
