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作 者:Li Cao Zhanxin Ma Muren
机构地区:[1]School of Mathematics Science,Inner Mongolia University,Hohhot 010021,China [2]College of Computer and Information,Inner Mongolia Medical University,Hohhot 010051,China [3]School of Economics and Management,Inner Mongolia University,Hohhot 010021,China [4]Key Laboratory of Rail Transit,Beijing Jiaotong University,Beijing 100044,China [5]School of Economics and Management,Inner Mongolia University of Technology,Hohhot 010110 China
出 处:《Journal of Systems Science and Systems Engineering》2020年第2期235-248,共14页系统科学与系统工程学报(英文版)
基 金:supported by National Natural Science Funds of China under Grant Nos.70821001,71661025 and 71401084;Inner Mongolia Natural Science Foundation under Grant Nos.2016MS0705,2017JQ02 and 2019MS07008;Inner Mongolia Grassland Talent Project under Grant No.12000-12102012;China Post-Doctoral Fund under Grant No.2018M631323;Project of Inner Mongolia Institute of Data Science and Big Data under Grant No.BDY18007;Inner Mogolia Medical University Excellext Teacher Preject under Grant No.NYJTXX201915.
摘 要:Data envelopment analysis(DEA)method based on game theory effectively ranks the decisionmaking units(DMUs)by the view of cooperation or competition.The DEA method based on partial ordered set theory depicts the relationships among DMUs.However,these methods are unable to reveal the complex cooperation and competition relationships among DMUs.In this paper,an optimal model for DMU group game strategy is proposed based on the generalized DEA method and game theory.According to this model,we can effectively depict the efficiency change of DMUs.Moreover,the effect of various game relationships on individual and the union of DMUs can be characterized.It is of positive significance for decision makers to find partners and moderate the cooperation and competition situation of their competitors.Finally,the cooperation and competition relationships of 9 express enterprises in a certain area in China are analyzed by using the method proposed in this paper.
关 键 词:GENERALIZED DEA GAME theory CROSS EFFICIENCY COOPERATION and COMPETITION
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