模糊竞争环境下供应链企业联盟的收益分配策略

发布时间：2018-05-25 15:32

  本文选题：联盟结构 + 古诺模型　； 参考：《统计与决策》2017年08期

【摘要】：文章通过引入三角模糊数将市场需求函数和企业单位成本模糊化,研究了模糊竞争环境下的联盟结构合作博弈的收益分配问题。收益分配方案基于两个阶段:首先,将优先联盟看成单个局中人,运用古诺市场竞争模型将各优先联盟间的Nash均衡解求出,求得各优先联盟的最优模糊利润;其次,用模糊Shapley值在各局中人之间分配优先联盟在竞争中取得的最优模糊利润;最后以汽车供应链中的企业收益分配为例说明该方法的合理性与可行性。
[Abstract]:In this paper, the triangular fuzzy number is introduced to fuzzy the market demand function and the unit cost of the enterprise, and the problem of income distribution in the cooperative game of alliance structure under the fuzzy competition environment is studied in this paper. The income distribution scheme is based on two stages: firstly, the priority alliance is regarded as a person in a single bureau, and the Nash equilibrium solution of each priority alliance is obtained by using Cournot's market competition model, and the optimal fuzzy profit of each priority alliance is obtained. The fuzzy Shapley value is used to distribute the optimal fuzzy profit of the priority alliance in the competition among the people in each bureau, and the rationality and feasibility of the method are illustrated by an example of the enterprise income distribution in the automobile supply chain.
【作者单位】： 北京工商大学商学院;
【基金】：国家自然科学基金资助项目(71401003) 教育部人文社会科学研究青年基金项目(14YJC630114)
【分类号】：F274;F407.471
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本文编号：1933745