Credibility Assessment of Fault Injection Simulation Based on Feature Selective Validation

Authors

Li Sheng, School of Science, Jiangxi University of Science and Technology, Ganzhou 341000, China;
Yuxiao Li, School of Science, Jiangxi University of Science and Technology, Ganzhou 341000, China;

Abstract

Abstract: Aiming at the complexity and large number feature details of the data of fault injection simulation which lead to the difficulty for the single indicators or expert visual assessment methods to obtain the accurate assessment results, and the evaluation expert giving the interval complementary judgment matrix on the basis of AHP method which lead to the difficulty for the weights of credibility indicators to be determined, a multi-indicator comprehensive credibility assessment model based on Feature Selection Verification (FSV) is proposed. It can calculate the quantitative credibility values and the qualitative credibility values of the credibility indicators. In order to calculate the weights of credibility indicators, the concepts of interval ambiguity and interval deviation are defined, and a multi-objective optimization model is constructed. The results show the feasibility and effectiveness of the method.

Recommended Citation

Sheng, Li and Li, Yuxiao (2020) "Credibility Assessment of Fault Injection Simulation Based on Feature Selective Validation," Journal of System Simulation: Vol. 32: Iss. 8, Article 17.
DOI: 10.16182/j.issn1004731x.joss.18-0862
Available at: https://dc-china-simulation.researchcommons.org/journal/vol32/iss8/17

First Page

1567

Revised Date

2019-03-23

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.18-0862

Last Page

1576

CLC

N945.16

Recommended Citation

Li Sheng, Li Yuxiao. Credibility Assessment of Fault Injection Simulation Based on Feature Selective Validation[J]. Journal of System Simulation, 2020, 32(8): 1567-1576.

DOI

10.16182/j.issn1004731x.joss.18-0862