Study on Validation of Simulation Models Based on Weight Matrix Gray Relational Analysis

Authors

Xiaolei Ning, China Hua Yin Ordnance Test Center Key Laboratory of Guided Weapons Test and Evaluation Simulation Technology, Huayin 714200, China;
Yingxia Wu, China Hua Yin Ordnance Test Center Key Laboratory of Guided Weapons Test and Evaluation Simulation Technology, Huayin 714200, China;
Zhanqi Chen, China Hua Yin Ordnance Test Center Key Laboratory of Guided Weapons Test and Evaluation Simulation Technology, Huayin 714200, China;

Abstract

Abstract: When used to validation of simulation models, ordinary gray relational analysis (GRA) usually stresses the similarity but ignores the nearness between the simulation test time series and flight test time series, while the nearness is part of model error. To reduce the risk in application of GRA to validation of simulation models, a new matrix gray relational analysis was proposed, which was in view of the similarity and the nearness between the simulation test time series and flight test time series, so it had a higher accuracy and reliability. The new model could solve the relational analysis problem with many characteristics of behavior and the operational steps in details are listed. It is proved that the improved moder satisfise the four grey relational axioms.A case study shows the reasonability and validity of the improved model.

Recommended Citation

Ning, Xiaolei; Wu, Yingxia; and Chen, Zhanqi (2021) "Study on Validation of Simulation Models Based on Weight Matrix Gray Relational Analysis," Journal of System Simulation: Vol. 27: Iss. 6, Article 1.
DOI: 10.16182/j.cnki.joss.2015.06.001
Available at: https://dc-china-simulation.researchcommons.org/journal/vol27/iss6/1

First Page

1159

Revised Date

2014-11-29

DOI Link

https://doi.org/10.16182/j.cnki.joss.2015.06.001

Last Page

1164

CLC

TJ761.12

Recommended Citation

Ning Xiaolei, Wu Yingxia, Chen Zhanqi. Study on Validation of Simulation Models Based on Weight Matrix Gray Relational Analysis[J]. Journal of System Simulation, 2015, 27(6): 1159-1164.

DOI

10.16182/j.cnki.joss.2015.06.001