基于模糊群决策的虚拟企业合作伙伴选择

Partner Selection Based on Fuzzy Group Decision-Making for Virtual Enterprise Formation

针对虚拟企业合作伙伴选择问题,首先从经济学角度提出以降低虚拟企业运作周期中的合作总成本为出发点来设计指标体系,在进一步分析了合作总成本的构成及其影响因素后建立了包括显性成本、伙伴的技术能力、客户服务水平等在内的8个指标;鉴于指标权重确定和指标信息量度的困难,利用专家的主观判断并通过语言变量转化为对应模糊数;在信息的不对称条件下为使决策科学合理,采用了群决策方法来集成各领域不同专家的信息,给出了相应的数学模型并计算出用模糊数表示的候选者综合评价值;针对模糊数的排序,引入了一种简单的实用方法·最后,用一个算例来阐释其应用过程·

An index system is designed for the partner selection of a virtual enterprise in view of economic factors, with the aim to lower the total co-operative cost during the whole operational lifecycle of the virtual enterprise. Then 8 indices are given to pick out the partners after breaking down the total cost and influencing factors on it, such as the level of service to provide for customers. Because of the difficulties in determining the weight of index and measuring the index data, the experts' subjective judgments are utilized and transformed correspondingly into fuzzy numbers via linguistic variables. To make decisions more reasonable under the conditions that data are asymmetrical, an appropriate mathematic model is given through the decision-making process on fuzzy group basis, i.e.,integrating all experts' information obtained from different fields. The overall evaluation value for a candidate is thus computed with fuzzy numbers, of which a simple and practical method is introduced to rank fuzzy numbers. A calculation is given to exemplify its applications.