Abstract: To implement pertinent network governance,a judgment method of industrial cluster's life cycle based on fuzzy proximity was put forward.By analyzing entities,activities and resources of the network,6 network characteristic indices were proposed to describe network characteristic patterns of industrial cluster at different phases.By using the multi-object classification algorithm based on fuzzy proximity,the asymmetric proximities between network characteristic indices and industrial cluster's life cycle phases were calculated.Based on Technique for Order Preference by Similarity to Ideal Solution(TOPSIS),the positive and negative ideal grades were defined.The symmetric proximities between each and every asymmetric proximity and ideal grades were compared to determine the actual phase of industrial cluster.An example of Shenyang equipment manufacturing industrial cluster was given to show the feasibility of the judgment method.The application result showed that the industrial cluster was in its growth phase,and the related network governance emphasis should be put on promoting cooperation among network entities and providing network resources.

Key words: industrial cluster, cluster network, life cycle, fuzzy proximity, ideal solution method

摘要： 为进行针对性的网络治理,基于模糊贴近度提出一种产业集群生命周期的判定方法。该方法通过分析网络主体、网络活动和网络资源,提取了6个网络特征指标,用以描述产业集群在生命周期不同阶段的网络特征模式;采用基于模糊贴近度的多目标分类算法,确定网络特征指标值对各阶段网络特征模式的非对称贴近向量;通过理想点法确定正负理想等级,根据各非对称贴近向量与正负理想等级的对称贴近度确定产业集群生命周期所处的阶段。以沈阳装备制造业集群为例验证了所提方法的可行性。判定结果表明该产业集群处于成长期,当前网络治理的重点应为利用云制造平台等方式促进网络主体合作和进一步丰富网络资源。

关键词: 产业集群, 集群网络, 生命周期, 模糊贴近度, 理想点法