Fuzzy rule-based (p)over-tilde and n(p)over-tilde control charts

Erginel N.

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, vol.27, no.1, pp.159-171, 2014 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 27 Issue: 1
  • Publication Date: 2014
  • Doi Number: 10.3233/ifs-130986
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.159-171
  • Keywords: Fuzzy set theory, fuzzy control charts, fuzzy rule based approach, fuzzy fraction nonconforming control charts, the fuzzy number of nonconforming units control charts, RANDOM-VARIABLES, LINGUISTIC DATA, ALPHA-CUTS, CONSTRUCTION, VARIABILITY, AVERAGE, TILDE
  • Anadolu University Affiliated: Yes


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) over tilde -control charts based on constant sample size and variable sample size, and fuzzy n (p) over tilde -control charts are subsequently introduced using decision rules for the process state conditions. In addition, "rather in control" and "rather out of control" decisions can be considered in monitoring of the process.