基于模糊灰色关联分析的集群项目标段划分  

Cluster project bid-section division based on fuzzy grey relation analysis

作　　者：郑霞忠[1,2] 郭雅薇[1] 朱忠荣[1,2] 

机构地区：[1]三峡大学水利与环境学院,湖北宜昌443002 [2]水电工程施工与管理湖北省重点实验室,湖北宜昌443002

出　　处：《南水北调与水利科技》2016年第2期172-176,81,共6页South-to-North Water Transfers and Water Science & Technology

基　　金：国家自然科学基金(51379110)~~

摘　　要：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 relationships between each subproject were analyzed and selected,including physical space,construction time,convergence process,construction organization,professional property,and supplementary engineering.Secondly,the weights of relationships between each subproject of cluster project were determined using the G1 method,the fuzzy relation was quantified using the triangular fuzzy number,and the comparison sequence and reference sequence were 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 was 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 subproject,help to reduce the difficulty of project management,and maximize the advantages of cluster project management.

关 键 词：集群项目 标段划分 灰色关联分析 G1法 三角模糊数 

分 类 号：TB407[一般工业技术]