Journal of System Simulation
Abstract
Abstract: A proposed method for managing credibility information in simulation modeling draws insights from the NASA-STD-7009 standard for modeling and simulation. From the perspective of credibility information recording, definition, and assessment, this method aims to address the core issue of whether the credibility requirements are met in simulation modeling research. A simulation system credibility information extraction tool is designed to extract three types of information including modeling credibility information, data credibility information, and development process credibility information, enabling recording, definition, and traceability of credibility information in simulation models. Taking a servo system credibility evaluation as an example, a simulation system credibility information management tool is developed based on the proposed credibility management method. The feasibility and effectiveness of the simulation system credibility information management method are verified. This work is expected to provide a theoretical basis and engineering ideas for intelligent analysis of credibility.
Recommended Citation
Gu, Qiming; Chen, Jiazhi; Cao, Guoyan; Zhou, Chenchu; Yu, Dengxiu; and Hu, Haifeng
(2025)
"Research on a Credibility Information Management Method of Simulation Modeling,"
Journal of System Simulation: Vol. 37:
Iss.
5, Article 18.
DOI: 10.16182/j.issn1004731x.joss.24-0053
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol37/iss5/18
First Page
1314
Last Page
1328
CLC
TP391.9
Recommended Citation
Gu Qiming, Chen Jiazhi, Cao Guoyan, et al. Research on a Credibility Information Management Method of Simulation Modeling[J]. Journal of System Simulation, 2025, 37(5): 1314-1328.
DOI
10.16182/j.issn1004731x.joss.24-0053
Included in
Artificial Intelligence and Robotics Commons, Computer Engineering Commons, Numerical Analysis and Scientific Computing Commons, Operations Research, Systems Engineering and Industrial Engineering Commons, Systems Science Commons