欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
为解决交叉效率方法中存在的多解问题,进取型权重与仁慈型权重方法被提出,所有决策单元要么同时被视为盟友,要么同时被视为敌对方,这并不完全符合各决策单元的个人意愿.因此,提出一种竞合DEA交叉效率方法,将所有决策单元分为若干组,各个决策单元的偏好权重能最大化盟友的总效率而最小化敌对方的总效率.这种权重选择策略体现了不同决策单元的个人偏好,故可以更方便地应用于实践中.最后,通过一个算例演示了这一方法.
英文摘要：
To eliminate the possible multiple solutions in the cross efficiency method,researchers proposed two approaches including the aggressive strategy and the benevolent strategy in which all of the other decision-making units are simultaneously treated as adversaries（allies） to the unit under evaluation. However,none of the strategy may accord completely with the individual preference of a specific DMU. Therefore this paper proposed a DEA cross-efficiency method considering both competition and cooperation among DMUs.All decision making units are divided into several groups.For a given DMU,its optimal preferential weights can maximize the aggregated efficiency of its allies and also minimize the aggregated efficiency of its adversaries.The proposed strategy allows for a specific DMU＇s individual preference in differential treatment to other DMUs,which makes it more applicable.Finally a numerical example is provided to illustrate the proposed approach.
同期刊论文项目
同项目期刊论文
Resource and environment efficiency analysis of provinces in China: A DEA approach based on Shannon'
Measuring and decomposing efficiency in international tourist hotels in Taipei using a multi-divisio
A Modified Super-efficiency DEA Approach for Solving Multi-groups Multi-outputs Classification Probl
A DEA Model for Efficiency Evaluation with Undesirable Output: An Application of Paper Mills along H
An Integrated Pricing and Deteriorating Model for a VMI (Vendor Managed Inventory) supply chain with
“DEA Studies on Comprehensive Efficiency of Output Allocation with an Application to Paper Mills alo
Ontology of collaborative manufacturing: Alignment of service-oriented framework with service-domina
Performances Based Clustering for Benchmarking of Container Ports: An Application of DEA and Cluster
new Malmquist productivity index based on semi-discretionary variables with an application to commer
位置：