{"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。
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.