A Reliability Evaluation Model for Complex Equipment Fusing General Uncertainty Variables

Chunxia Feng, Sifeng Liu, Wenjie Dong, Liangyan Tao — Mon, 30 Dec 2024 00:00:00 +0000

Due to the uncertainty of cognition and the difficulty of obtaining information, the reliability information of complex equipment is full of uncertainty. In order to make full use of multi-source uncertain reliability information, a reliability evaluation model based on D-S evidence theory and general uncertainty theory is proposed. The main work is as follows: Firstly, the basic probability assignment of evidence theory is carried out through general uncertainty theory for random, fuzzy, grey and rough reliability data in the development process of complex equipment. Second, in order to address the fusion of conflicting evidence, the weights of the evidences to be fused are corrected from three different perspectives. On this basis, the optimal weight combination is obtained by the TOPSIS method. The mission reliability evaluation result of the whole complex equipment is obtained by using the Dempster combination rule; Finally, an arithmetic example illustrates that the method proposed in this study is characterized by more conservative assessment results and more accurate reflection of changes in reliability confidence.

Growth of Digital Infrastructure of China and USA: Application of Intelligent Grey Forecasting Model

Mon, 30 Dec 2024 00:00:00 +0000

Mobile cellular telephone subscriptions and secure internet servers play an important role in the digital infrastructure of the country, and their growth projections hold useful information for planners and policymakers. The current study makes a pioneering attempt to forecast the growth in mobile cellular subscriptions and secure internet servers in the United States of America and China using an intelligent and flexible time-series grey model called EGM (1,1, α, θ). Secure internet servers in the US and China are projected to grow exponentially, while mobile cellular subscriptions for both countries showed linear growth. The error analysis done through the mean absolute percentage error revealed some interesting results related to secure Internet servers. The results provide useful insights for proper planning of the digital infrastructure of the two digital powerhouses.

International Journal of Grey Systems

A Reliability Evaluation Model for Complex Equipment Fusing General Uncertainty Variables

Growth of Digital Infrastructure of China and USA: Application of Intelligent Grey Forecasting Model