基于修正的夏普利值和 DEA 交叉效率的共同收益分配

Xinyu Wanga, Qianwei Zhanga, Binwei Guib, Yingdi Zhaoa
{"title":"基于修正的夏普利值和 DEA 交叉效率的共同收益分配","authors":"Xinyu Wanga, Qianwei Zhanga, Binwei Guib, Yingdi Zhaoa","doi":"arxiv-2409.08491","DOIUrl":null,"url":null,"abstract":"How to design a fair and reasonable allocation plan for the common revenue of\nthe alliance is considered in this paper. We regard the common revenue to be\nallocated as an exogenous variable which will not participate in the subsequent\nproduction process. The production organizations can cooperate with each other\nand form alliances. As the DEA cross-efficiency combines self- and\npeer-evaluation mechanisms, and the cooperative game allows fair negotiation\namong participants, we combine the cross-efficiency with the cooperative game\ntheory and construct the modified Shapley value to reflect the contribution of\nthe evaluated participant to the alliance. In addition, for each participant,\nboth the optimistic and the pessimistic modified Shapley values are considered,\nand thus the upper and lower bounds of the allocation revenue are obtained,\ncorrespondingly. A numerical example is presented to illustrate the operation\nprocedure. Finally, we apply the approach to an empirical application\nconcerning a city commercial bank with 18 branches in China.","PeriodicalId":501316,"journal":{"name":"arXiv - CS - Computer Science and Game Theory","volume":"56 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The common revenue allocation based on modified Shapley value and DEA cross-efficiency\",\"authors\":\"Xinyu Wanga, Qianwei Zhanga, Binwei Guib, Yingdi Zhaoa\",\"doi\":\"arxiv-2409.08491\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"How to design a fair and reasonable allocation plan for the common revenue of\\nthe alliance is considered in this paper. We regard the common revenue to be\\nallocated as an exogenous variable which will not participate in the subsequent\\nproduction process. The production organizations can cooperate with each other\\nand form alliances. As the DEA cross-efficiency combines self- and\\npeer-evaluation mechanisms, and the cooperative game allows fair negotiation\\namong participants, we combine the cross-efficiency with the cooperative game\\ntheory and construct the modified Shapley value to reflect the contribution of\\nthe evaluated participant to the alliance. In addition, for each participant,\\nboth the optimistic and the pessimistic modified Shapley values are considered,\\nand thus the upper and lower bounds of the allocation revenue are obtained,\\ncorrespondingly. A numerical example is presented to illustrate the operation\\nprocedure. Finally, we apply the approach to an empirical application\\nconcerning a city commercial bank with 18 branches in China.\",\"PeriodicalId\":501316,\"journal\":{\"name\":\"arXiv - CS - Computer Science and Game Theory\",\"volume\":\"56 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-09-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - CS - Computer Science and Game Theory\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2409.08491\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Computer Science and Game Theory","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.08491","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

本文将探讨如何为联盟的共同收益制定公平合理的分配方案。我们将待分配的共同收益视为一个外生变量,它不参与后续的生产过程。生产组织可以相互合作,形成联盟。由于 DEA 交叉效率结合了自评和互评机制,而合作博弈允许参与者之间进行公平协商,因此我们将交叉效率与合作博弈理论相结合,构建修正的夏普利值来反映被评价者对联盟的贡献。此外,对于每个参与者,我们都会考虑乐观和悲观的修正夏普利值,从而相应地得到分配收益的上限和下限。我们举了一个数字例子来说明操作过程。最后,我们将该方法应用于一个有关中国一家拥有 18 家分行的城市商业银行的实证应用中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
The common revenue allocation based on modified Shapley value and DEA cross-efficiency
How to design a fair and reasonable allocation plan for the common revenue of the alliance is considered in this paper. We regard the common revenue to be allocated as an exogenous variable which will not participate in the subsequent production process. The production organizations can cooperate with each other and form alliances. As the DEA cross-efficiency combines self- and peer-evaluation mechanisms, and the cooperative game allows fair negotiation among participants, we combine the cross-efficiency with the cooperative game theory and construct the modified Shapley value to reflect the contribution of the evaluated participant to the alliance. In addition, for each participant, both the optimistic and the pessimistic modified Shapley values are considered, and thus the upper and lower bounds of the allocation revenue are obtained, correspondingly. A numerical example is presented to illustrate the operation procedure. Finally, we apply the approach to an empirical application concerning a city commercial bank with 18 branches in China.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
MALADY: Multiclass Active Learning with Auction Dynamics on Graphs Mechanism Design for Extending the Accessibility of Facilities Common revenue allocation in DMUs with two stages based on DEA cross-efficiency and cooperative game The common revenue allocation based on modified Shapley value and DEA cross-efficiency On Robustness to $k$-wise Independence of Optimal Bayesian Mechanisms
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1