基于超网络的协同产品创新知识网络稳定性

Stability of collaborative product innovation knowledge network based on super-network

为定量分析协同产品创新知识网络的稳定性,基于加权知识超网络模型提出了知识网络稳定性的测度与分析方法。研究了协同成员及知识等要素流失对知识网络稳定性的影响,以及协同产品创新知识网络中节点与节点间关系的特性。基于三角模糊数方法提出了知识超网络边权与点权的量化加权方法,进而构建了协同产品创新加权知识超网络模型。基于所构建模型,从静态稳定性与动态稳定性的角度提出了知识网络稳定性测度与分析的指标与方法。通过在某手机开发企业中的应用,表明了所提方法能够全面、准确地评估协同成员及知识等要素的流失对协同产品创新知识网络稳定性的影响,为监测和优化知识网络的运行稳定性提供了决策支持。

Stable structure and function of collaborative product innovation knowledge network is an important guarantee for the successful implementation of collaboration product innovation.To analyze the stability of collaborative product innovation knowledge network quantitatively,the stability measurement and analysis method based on weighted super-network were proposed to investigate the influence of member loss and knowledge loss on stability.Based on the characteristics of nodes and relationships among nodes in collaborative product innovation knowledge network,the node and edge weighting method for knowledge super-network was proposed with triangular fuzzy number,and then the model of collaborative product innovation weighted knowledge super-network was built.Based on the weighted knowledge super-network model,the stability measurement and analysis method was proposed from the view of static stability and dynamic stability.Application in a mobile phone development enterprise indicated that the method could completely and exactly evaluate the influence of member and knowledge loss on the stability of collaborative product innovation knowledge network,which provided the decision support to monitor and optimize the stability of knowledge network.