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

Chen Huang | Zendy; Yanfeng Zhu | Zendy; Xiaoming Shao | Zendy

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

Author(s) -

Chen Huang,

Yanfeng Zhu,

Xiaoming Shao

Publication year - 2021

Publication title -

security and communication networks

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.446

H-Index - 43

eISSN - 1939-0114

pISSN - 1939-0122

DOI - 10.1155/2021/4688846

Subject(s) - computer science , risk management , risk analysis (engineering) , fuzzy logic , fuzzy rule , software deployment , data mining , reliability engineering , algorithm , fuzzy set , artificial intelligence , software engineering , engineering , medicine , management , economics

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.

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