Design of Project Cost Risk Management System Based on Improved Fuzzy Rule Weight Algorithm

Abstract

Aiming at the low accuracy of index weight calculation and risk type identification in traditional cost risk management systems, this paper proposes a project cost risk management system based on an improved fuzzy rule weight algorithm. We analyzed the types of project cost risks, adopted a three-tier technical architecture to design the system frame structure and functional organization structure of the cost risk management system, and adopted the B/S architecture for network structure deployment. In the software part, an improved fuzzy rule weight algorithm is used to calculate the weight of project cost risk indicators, thereby improving the effectiveness of risk management. Experimental results show that the designed system works well, can accurately calculate the weights of risk indicators, and can effectively identify multiple risk types.

Cost management of power grid transmission and substation project based on BIM technology

“…The process of formation of various expenditures cannot be accurately analyzed and predicted, and there is no set of perfect analysis methods. Huang [25] showed that the staff at the construction site and the people involved at different levels have an important influence on the project cost control of engineering projects in the power field. Xiao [26] proposed that in power engineering projects, a reasonable project cost management system can provide a decision-making basis for the control of project quality.…”

Retracted: Design of Project Cost Risk Management System Based on Improved Fuzzy Rule Weight Algorithm

“…Tis article has been retracted by Hindawi, as publisher, following an investigation undertaken by the publisher [1]. Tis investigation has uncovered evidence of systematic manipulation of the publication and peer-review process.…”