为制定合理的集群项目标段划分方案，综合运用灰色系统理论，提出集群项目标段划分模糊灰色关联分析与评价方法。首先，结合集群项目特点，筛选出物理空间、施工时间、工序衔接、施工组织、专业属性、辅助工程等6类子项目间相关关系。然后，利用G1法确定集群项目各子项目间相关关系权重，并对其进行三角模糊数量化赋值，选取比较序列与参考序列。最后，综合考虑各相关关系权重影响，进行模糊灰色关联分析，计算各子项目间加权模糊灰色关联度，根据关联度排序结果选出最优标段划分方案。研究结果表明：通过建立集群项目标段划分模糊灰色关联模型，实现各子项目间相关关系的量化分析，有利于降低工程管理难度，最大限度地发挥集群项目管理优势。

For making reasonable bid-section division scheme of the cluster project, this paper put forward the project cluster fuzzy grey relation analysis and evaluation methods of bid-section division based on the gray theory. Firstly, combining with the characteristics of the cluster project, the relations between each subproject are analyzed and selected, which are the physical space, the construction time, convergence process, construction organization, professional property, supplementary engineering. Secondly, the G1 method is used to determine the weights of the relationship between cluster project sub project, and by using the triangular fuzzy number to quantify the fuzzy relation, the comparison sequence and the reference sequence are selected. Finally, with consideration the impact of the relation weights, according to the fuzzy grey relation analysis, each subproject of weighted fuzzy grey relation degree is calculated to select the optimal bid section division scheme. The research results show that the fuzzy grey relation model of cluster project bid-section division make quantitative analysis on the relationship between each of the sub project, and help to reduce the difficulty of project management, and maximize the advantages of cluster project management.

国家自然科学基金资助（51379110）