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Resource allocation based on DEA and modified Shapley value

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  • Yang, Zhihua
  • Zhang, Qianwei

Abstract

In this paper, we design characteristic functions based on DEA (data envelopment analysis) efficiency, and propose a modified Shapley value to solve the resource allocation problem in a fair way, which deals with a set of comparable and homogeneous DMUs (decision making units). In addition, we establish a new Gini coefficient to reflect the fairness of resource allocation plan, by regarding the DEA efficiency and resource portion allocated to each DMU as service unit and equity unit, respectively. Numerical examples are presented to illustrate the proposed approach. The examples show that our allocation approach is the most equitable one compared with other existing approaches.

Suggested Citation

  • Yang, Zhihua & Zhang, Qianwei, 2015. "Resource allocation based on DEA and modified Shapley value," Applied Mathematics and Computation, Elsevier, vol. 263(C), pages 280-286.
  • Handle: RePEc:eee:apmaco:v:263:y:2015:i:c:p:280-286
    DOI: 10.1016/j.amc.2015.04.063
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    References listed on IDEAS

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    Cited by:

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    4. Jiekun Song & Xiaoping Ma & Rui Chen, 2021. "A Profit Distribution Model of Reverse Logistics Based on Fuzzy DEA Efficiency—Modified Shapley Value," Sustainability, MDPI, vol. 13(13), pages 1-20, June.
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    6. Jiasen Sun & Yelin Fu & Xiang Ji & Ray Y. Zhong, 2017. "Allocation of emission permits using DEA-game-theoretic model," Operational Research, Springer, vol. 17(3), pages 867-884, October.

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