Risk-adjusted quality control charts based on fuzzy data

The use of statistical quality control methods in various fields of medicine can play an important role in improving the quality of surgical processes. Risk-adjusted quality control charts are very effective in monitoring the performance of surgeons due to the consideration of preoperative risks of patients. Because of the ambiguity and inaccuracy of the risk and its expression in the form of low, medium, high, etc., it is necessary to consider it as a fuzzy number. In this case, special quality control charts are needed to monitor the values ​​of statistics based on fuzzy data. In this study, these quality control charts are introduced. The results will then be reviewed and compared using real data from heart surgery.