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Cross-efficiency aggregation method considering bounded rationality: An application to healthcare service

Document Type

Research-Article

Author

Hao Pan, Guoliang Yang, Yuanyu Lou, Zhongcheng Guan

Journal Name

EURO Journal on Decision Processes

Keywords

Consensus, Healthcare service, Inequity aversion, Overconfidence, Tobit model

Abstract

The cross-efficiency evaluation method is a powerful tool for assessing efficiency. However, previous research has often overlooked the bounded rationality of decision makers (DMs), thereby neglecting key factors. To address this gap, we investigate the cross-efficiency weight aggregation method under bounded rationality. Firstly, we develop a utility function incorporating inequality aversion and overconfidence, integrating them into the cross-efficiency weight aggregation process to formulate the equity-minded cross-efficiency method. Secondly, building upon this method, we address consensus issues within evaluation groups by introducing a consensus compromise algorithm. This algorithm aims to reconcile group opinions based on the principles of the equity-minded cross-efficiency approach. Furthermore, we apply our model to evaluate healthcare service efficiency in China. Our analysis explores the impact of overconfidence and fairness preferences, using a Tobit regression model to examine factors influencing healthcare service efficiency. © 2025

http://doi.org/10.1016/j.ejdp.2025.100059

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