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.
Highlights
Under the guidance of the national macropolicy, China’s engineering construction has developed rapidly
Reference [4] proposed a project cost risk management system based on improved cloud model. e system fully considered the randomness, fuzziness, and uncertainty of experts qualitative evaluation, coupled the subjective weight and objective weight of AHP method and entropy weight method with the initial weight of cloud model calculation, and used the combination evaluation method to determine the importance of each risk factor, to realize the management of project cost risk
The accuracy of the weight calculated by the system is poor, leading to the final management effect being not ideal. e paper proposes a project cost risk management system based on cloud computing method, which is designed and assembled with high-precision chip, suitable for cloud computing technology, as the equipment foundation of secondary design, and the other hardware is based on the original hardware
Summary
Under the guidance of the national macropolicy, China’s engineering construction has developed rapidly. Reference [4] proposed a project cost risk management system based on improved cloud model. E system fully considered the randomness, fuzziness, and uncertainty of experts qualitative evaluation, coupled the subjective weight and objective weight of AHP method and entropy weight method with the initial weight of cloud model calculation, and used the combination evaluation method to determine the importance of each risk factor, to realize the management of project cost risk. Rough the current situation of highway project cost management, it comprehensively analyzes the development status of different links of project cost management. The specific situation of BIM Technology used in highway engineering cost management process is analyzed in four stages: bidding, design, construction, and completion handover. The overall management effect of the system is not ideal
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