Fuzzy regression control chart based on α-cut approximation
International Journal of Computational Intelligence Systems, vol.3, no.1, pp.123-140, 2010 (SCI-Expanded, Scopus)
- Publication Type: Article / Article
- Volume: 3 Issue: 1
- Publication Date: 2010
- Doi Number: 10.2991/ijcis.2010.3.1.12
- Journal Name: International Journal of Computational Intelligence Systems
- Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
- Page Numbers: pp.123-140
- Keywords: Control charts, Fuzzy numbers, Fuzzy sets, Regression control chart, Tool wearing
- Open Archive Collection: AVESIS Open Access Collection
- Anadolu University Affiliated: Yes
Abstract
The fuzzy regression control chart is a functional technique to evaluate the process in which the average has a trend and the data represents a linguistic or approximate value. In this study, the theoretical structure of the "α-level fuzzy midrange for α-cut fuzzy -regression control chart" is proposed for triangular (TFN) and trapezoidal (TrFN) membership functions. In addition, the real world application is evaluated with fuzzy regression control charts and fuzzy control charts for the triangular membership function.