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