模糊合作对策区间Shapley值法的改进及应用  

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

作　　者：王晓艳[1] 殷辉[1,2] 

机构地区：[1]合肥学院管理系,合肥230601 [2]浙江大学管理学院,杭州310058

出　　处：《计算机工程与应用》2013年第15期60-64,79,共6页Computer Engineering and Applications

基　　金：安徽省高校省级人文社科重点研究项目(No.SK2012A106);中国物流学会研究课题(No.2012CSLKT105);教育部人文社科研究项目(No.10YJA880057)

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。Profit allocation is a complex issue in fuzzy cooperative games. There＇re impacts from partner risk distribution, col- laborative 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.

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 

分 类 号：F270[经济管理—企业管理]