Applying fuzzy theory to develop linguistic control charts The pLCC model
Article Sidebar
| quality control |
| Shewhart’s control chart |
| fuzzy set theory |
| possibility theory |
| fuzzy arithmetic |
| triangle fuzzy number |
| linguistic control chart |
| fuzzy variable |
Main Article Content
Abstract
This paper studies an approach to use fuzzy set theory and possibility theory to construct control charts – a very important on-line process control tool used in quality control. The control chart is constructed based on linguistic data. The model aims to control the process simply and effectively. The quality characteristics are modeled by fuzzy variable. The status of quality characteristics is modeled by triangle fuzzy number. Fuzzy arithmetic is used to calculate the control chart’s center line. The control chart’s control limits are constructed according to Shewhart’s principle. The fuzzy variable’s standard deviation is calculated by a model developed by Kauffman and Gupta.
Article Details
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution 4.0 International License that allows others to share the work with an acknowledgment of the work’s authorship and initial publication in this journal.
This has been implemented from Jan 2024 onwards