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使用基于前景理论的新双边跨效率方法对航空业的评估

Seyedreza Seyedalizadeh Ganji¹, Mohammad Najafi², Alexandra Mora-Cruz³

¹Department of Transportation Engineering, Imam Khomeini International University, Qazvin, Iran.

Annals of operations research

|June 26, 2023

概括

本研究引入了一种新方法,即使用APC (DAPC) 聚合的双边界CEM,通过包括决策者的偏好和非高效边界来改善效率评估. 通过考虑乐观和悲观的观点,DAPC提供了更全面的航空公司绩效排名.

科学领域:

运营研究运营研究
管理科学管理科学
数据包围分析数据包围分析

背景情况:

数据环境分析 (DEA) 中的传统交叉效率方法 (CEM) 忽视了决策者的主观偏好和反效率的边界.
这些局限性妨碍了决策单位 (DMU) 准确的自我评估和全面的效率测量.

研究的目的:

通过结合前景理论和双边界方法来增强传统的CEM.
解决在效率评估中忽视主观偏好和反效率边界的问题.
开发一种新的方法,DAPC,用于更强大和更全面的绩效评估.

主要方法:

整合前景理论和共识度 (APC) 以捕捉决策者 (DM) 对收益和损失的主观偏好.
在乐观和悲观的交叉效率方法 (CEM) 中应用APC.
通过结合两种观点,使用APC (DAPC) 进行聚合的双边CEM的发展.

主要成果:

DAPC方法有效地纳入了DM的偏好,显示了基于乐观和悲观观点的航空公司排名的显著差异.
通过同时考虑主观偏好和双边界,DAPC提供了更全面的排名.
特定航空公司的效率主要受到乐观 (例如80.92%) 或悲观 (例如73.45%) 的观点的影响.

结论:

拟议的DAPC方法克服了传统CEM的局限性,因为它考虑了DM的主观偏好和反效的边界.
DAPC提供了更细致和更完整的DMU绩效评估,如伊朗航空公司案例研究所示.
该研究强调了个人观点对整体效率评估的影响,并提供了对航空公司绩效的见解.

关键词:

航空公司行业航空公司行业.数据包裹分析 (DEA) 是指数据包裹分析.决策单位 (DMU) 是指决策单位.双边界CEM的双边关系评估效率的评估效率的评估.预期理论的前景理论.

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