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Research on Uncertainty of System Function State from Factors-Data-Cognition

Author

Listed:
  • Tiejun Cui

    (Liaoning Technical University)

  • Peizhuang Wang

    (Liaoning Technical University)

  • Shasha Li

    (Liaoning Technical University)

Abstract

In the process of system operation, the ability to complete the predetermined function is changing, which is uncertain for the system designer. In order to study the uncertainty of system function state, the causes of uncertainty are analyzed with the help of system fault evolution process and space fault network theory, and the methods to deal with and express uncertainty are studied. Firstly, human, man-made system and natural system are defined; Secondly, the four elements of evolution structure are obtained through space fault network; the causes of uncertainty are factor, data and cognition; the method to deal with uncertainty is analyzed by using four factors; finally, a method to represent the uncertainty of system function state is proposed. According to the research, man-made system is a system established by man according to his subjective cognition, which can complete the predetermined function, that is, man's cognition determines man-made system. Due to the loss of factor flow and data flow in the transmission process, people's cognition of natural system is limited. There must be differences between man-made system and natural system, which is the uncertainty of system function state.

Suggested Citation

  • Tiejun Cui & Peizhuang Wang & Shasha Li, 2022. "Research on Uncertainty of System Function State from Factors-Data-Cognition," Annals of Data Science, Springer, vol. 9(3), pages 593-609, June.
    • Handle: RePEc:spr:aodasc:v:9:y:2022:i:3:d:10.1007_s40745-021-00368-3
    DOI: 10.1007/s40745-021-00368-3
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    References listed on IDEAS

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    1. James M. Tien, 2017. "Internet of Things, Real-Time Decision Making, and Artificial Intelligence," Annals of Data Science, Springer, vol. 4(2), pages 149-178, June.
    2. Peizhuang Wang & He Ouyang & Yixin Zhong & Huacan He, 2016. "Cognition Math Based on Factor Space," Annals of Data Science, Springer, vol. 3(3), pages 281-303, September.
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