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Risk-adjusted control charts based on LR-fuzzy data | ||
| Iranian Journal of Fuzzy Systems | ||
| مقاله 8، دوره 17، شماره 5، آذر و دی 2020، صفحه 69-80 اصل مقاله (545.49 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22111/ijfs.2020.5515 | ||
| نویسندگان | ||
| A. Rezaeifar* ؛ B. Sadeghpour Gildeh؛ G. R. Mohtashami Borzadaran | ||
| Department of Statistical Sciences, Ferdowsi University of Mashhad, Mashhad, Iran | ||
| چکیده | ||
| Control charts are widely used in industrial processes as well as in health sciences and particularly for monitoring the performance of cardiac surgeon or a group of surgeons based on the preoperative risk of patients. Since the preoperative risk is a vague and nonprecise variable and the anesthesiologists after checking how many risk factors a patient has, determine the risk of mortality before the surgery as a linguistic term such as low, medium, high or others like that, it is better to be considered as a fuzzy number, which can be determined by using fuzzy regression models. In this condition, we need a special chart to monitor the performance of surgeons based on these fuzzy data. In this article, we propose risk-adjusted control charts based on LR-fuzzy data and then test our conclusions on real data. | ||
| کلیدواژه‌ها | ||
| Preoperative risk؛ surgical outcomes؛ monitoring performance؛ risk-adjusted control charts؛ fuzzy logistic regression | ||
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آمار تعداد مشاهده مقاله: 90 تعداد دریافت فایل اصل مقاله: 33 |
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