EconPapers    
Economics at your fingertips  
 

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

Tiejun Cui (), Peizhuang Wang and Shasha Li
Additional contact information
Tiejun Cui: Liaoning Technical University
Peizhuang Wang: Liaoning Technical University
Shasha Li: Liaoning Technical University

Annals of Data Science, 2022, vol. 9, issue 3, No 10, 593-609

Abstract: 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.

Keywords: Safety system engineering; Intelligence science; System function status; Uncertainty; System fault evolution process; Space fault network; Factor space; Cause analysis (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s40745-021-00368-3 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:aodasc:v:9:y:2022:i:3:d:10.1007_s40745-021-00368-3

Ordering information: This journal article can be ordered from
https://www.springer ... gement/journal/40745

DOI: 10.1007/s40745-021-00368-3

Access Statistics for this article

Annals of Data Science is currently edited by Yong Shi

More articles in Annals of Data Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:aodasc:v:9:y:2022:i:3:d:10.1007_s40745-021-00368-3