计算机工程与应用 ›› 2013, Vol. 49 ›› Issue (15): 60-64.

• 理论研究、研发设计 • 上一篇    下一篇

模糊合作对策区间Shapley值法的改进及应用

王晓艳1,殷  辉1,2   

  1. 1.合肥学院 管理系,合肥 230601
    2.浙江大学 管理学院,杭州 310058
  • 出版日期:2013-08-01 发布日期:2013-07-31

Improvement and application of interval Shapley value method in fuzzy cooperative games

WANG Xiaoyan1, YIN Hui1,2   

  1. 1.Department of Management, Hefei University, Hefei 230601, China
    2.School of Management, Zhejiang University, Hangzhou 310058, China
  • Online:2013-08-01 Published:2013-07-31

摘要: 模糊合作对策的收益分配是个复杂问题,受到合作方的风险承担、合作努力、市场竞争、创新贡献和资源投入等因素的影响,而且不同因素有着不同的重要性。运用区间Shapley值法对模糊合作对策的收益进行初步分配。通过将AHP-GEM法和模糊综合评价法相结合,引入收益分配的综合修正因子,对区间Shapley值法进行改进,建立了模糊合作对策利益分配的改进模型。以制造业和物流业联盟为例,说明了改进模型的实用性和可行性。

关键词: 模糊合作对策, 改进区间Shapley值, 层次分析法和群组决策特征根法(AHP-GEM), 模糊综合评价法, 收益分配, 制造业与物流业联盟

Abstract: Profit allocation is a complex issue in fuzzy cooperative games. There’re impacts from partner risk distribution, collaborative efforts,market competition, innovative contribution as well as resource investment. Moreover, different factors have different degrees of importance. This paper performs a preliminary profit allocation based on interval Shapley value method, then studies improving interval Shapley value method by incorporating AHP-GEM method and fuzzy comprehensive evaluation method, adding comprehensive correction factor on profit distribution. On this basis, the paper establishes an improved model of profit allocation fuzzy cooperative games. This paper takes manufacturing and logistics alliance as example, demonstrates the practicality and feasibility of the improved model.

Key words: fuzzy cooperative games, improved interval Shapley value, Analytic Hierarchy Process-Group Eigenvalue Method(AHP-GEM), fuzzy comprehensive evaluation method, profit allocation, manufacturing and logistics industry alliance