Risk-adjusted control charts based on LR-fuzzy data

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REZAEIFAR A.; SADEGHPOUR GILDEH B.; MOHTASHAMI BORZADARAN G.R.; MOHTASHAMI BORZADARAN G.R.

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Journal: Iranian Journal of Fuzzy Systems Year:2020 | Volume:17 | Issue:5 Page(s): 69-80

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Title

Risk-adjusted control charts based on LR-fuzzy data

Author(s)

REZAEIFAR A. | SADEGHPOUR GILDEH B. | MOHTASHAMI BORZADARAN G.R. | MOHTASHAMI BORZADARAN G.R. | Issue Writer Certificate

Keywords

Preoperative riskQ2

surgical outcomesQ2

monitoring performanceQ2

risk-adjusted control chartsQ2

fuzzy logistic regressionQ2

Abstract

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.

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APA: Copy

REZAEIFAR, A., SADEGHPOUR GILDEH, B., & MOHTASHAMI BORZADARAN, G.R.. (2020). Risk-adjusted control charts based on LR-fuzzy data. IRANIAN JOURNAL OF FUZZY SYSTEMS, 17(5 ), 69-80. SID. https://sid.ir/paper/370077/en

Vancouver: Copy

REZAEIFAR A., SADEGHPOUR GILDEH B., MOHTASHAMI BORZADARAN G.R.. Risk-adjusted control charts based on LR-fuzzy data. IRANIAN JOURNAL OF FUZZY SYSTEMS[Internet]. 2020;17(5 ):69-80. Available from: https://sid.ir/paper/370077/en

IEEE: Copy

A. REZAEIFAR, B. SADEGHPOUR GILDEH, and G.R. MOHTASHAMI BORZADARAN, “Risk-adjusted control charts based on LR-fuzzy data,” IRANIAN JOURNAL OF FUZZY SYSTEMS, vol. 17, no. 5 , pp. 69–80, 2020, [Online]. Available: https://sid.ir/paper/370077/en

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