Research on Cost Influencing Factors of BIM Technology Based on Fuzzy Clustering Maximum Tree Algorithm in Construction Engineering Design Stage

The engineering cost control in the design stage of construction engineering is an important aspect of the entire project cost control. Under the overlapping influence of BIM technology, there are many risks associated with cost control in the design stage. To better identify the influence degree of various risks on the cost, this paper adopts the method of fuzzy clustering maximum tree algorithm for research. Firstly, an index system of cost-influencing factors in the design stage of construction engineering is established. Then, the ranking results of various influencing factors are obtained according to the steps of indicator scoring, data normalization, establishing fuzzy relationships, and fuzzy clustering. The aim is to allow managers to take more targeted measures to control risks, reduce costs, and improve benefits.