摘要
针对目前科技创新团队组建过程中度量知识相似度主观性大的缺点,提出利用超网络从微观知识角度定量计算,合理组建科技创新团队的方法。首先,建立科技创新团队的知识超网络,将团队需要的知识和候选人员的知识用知识元向量表示;然后利用知识主体的相似度算法计算团队需要的知识和候选人员,以及候选人员间的知识相似度;以计算的相似度值作为输入条件,建立了科技创新团队组建中的人员选择多目标模型。模型不但考虑满足团队需要知识的需求,还考虑满足被选人员间知识交流效果要好的需求,并分析了模型的Pareto前沿特征、适应性及复杂度等理论问题。最后结合一个实例,讨论了如何依据该组建方法挑选科技创新团队的合适人员。
The main objective of the paper is to study the process and method of establishing innovation team based on knowledge supernetwork in terms of the quantitative method of knowledge similarity. Firstly, the knowledge supemetwork of the innovation team is set up. And then the knowledge required by organization and the knowledge of each candidate are represented by knowledge element vector. Secondly, the similarity between the knowledge required by organization, the knowledge of each candidate and the pairwise similarity of candidates are computed respectively. Thirdly, the bi-objective personnel selection model of innovation team is built up. The model not only considers satisfying the knowledge needed by innovation team, but also deals with the communication among the selected persons, by taking the similarities as input. Furthermore, the features of Pareto-optimal front, flexibility and computation complexity of the model are analyzed. Finally, the process and the model are well illustrated by an application case.
出处
《科学学与科学技术管理》
CSSCI
北大核心
2013年第8期166-171,共6页
Science of Science and Management of S.& T.
基金
国家自然科学基金项目"中文领域本体学习及半自动构建方法研究"(71201032)
中国博士后面上基金项目"企业人力资源培训效果的分析与优化"(2012M510828)
关键词
知识超网络
创新团队
人员选择
多目标
计算复杂度
knowledge supemetwork
innovation team
personnel selection
multi-objective
computation complexity
