一种基于和谐矩阵的知识协同团队伙伴选择方法

针对多指标决策方法或优化建模方法解决团队伙伴选择不理想的问题,给出了一种基于和谐矩阵的知识协同团队伙伴选择方法.首先介绍了知识协同的概念,并对知识协同团队的概念进行了界定;然后根据知识协同团队的特点建立了伙伴选择的指标体系,并通过计算和谐系数与不和谐系数构建和谐矩阵与不和谐矩阵,确定关键核选出占优伙伴;最后给出了一个算例说明该方法能够很好地处理知识协同团队伙伴的整体和谐性问题.

A Method for Selecting Partners of Knowledge Collaboration Team Based on Concordant Matrix

To solve the problem that the team partners are selected improperly by multi-index decision-making or optimal modeling, a method based on harmony matrix is presented to select partners of a KC(knowledge collaboration) team. Describing the concept of KC and defining the KC team, an index system is set up for partner selection according to the characteristics of KC teams. Then, both the concordant and disconcordant matrices are built via the computation of concordant and disconcordant coefficients so as to determine the key kernel to pick up the preferable partner(s). The results of a numerical example revealed that the method proposed is able to deal with the concordant relation between all members of a KC team.