Selection of Simulation Model Based on Principal Component Analysis

Authors

Jiao Song, Science and Technology on Information Systems Engineering Laboratory, The 28th Research Institute of China Electronics Technology Group Corporation, Nanjing 210007, China;
Shaojie Mao, Science and Technology on Information Systems Engineering Laboratory, The 28th Research Institute of China Electronics Technology Group Corporation, Nanjing 210007, China;
Zhenqi Ju, Science and Technology on Information Systems Engineering Laboratory, The 28th Research Institute of China Electronics Technology Group Corporation, Nanjing 210007, China;
Chu Wei, Science and Technology on Information Systems Engineering Laboratory, The 28th Research Institute of China Electronics Technology Group Corporation, Nanjing 210007, China;

Abstract

Abstract: To reduce the subjectivity of result for selecting the simulation model when the reference output is complete, the selection method of simulation model based on principal component analysis and grey comprehensive evaluation was proposed. The simulation outputs were divided into three kinds of static data, gradual data and fast data according to the data feature, and the measure models of differences for each kind data were given. The correlation among the feature differences was eliminated via principal component analysis, and several independent principal components were gained. The independent principal components were integrated based on grey comprehensive evaluation, and the selection result of simulation model was gained. In the application, the validity of the method is showed.

Recommended Citation

Song, Jiao; Mao, Shaojie; Ju, Zhenqi; and Wei, Chu (2020) "Selection of Simulation Model Based on Principal Component Analysis," Journal of System Simulation: Vol. 28: Iss. 11, Article 5.
DOI: 10.16182/j.issn1004731x.joss.201611005
Available at: https://dc-china-simulation.researchcommons.org/journal/vol28/iss11/5

First Page

2677

Revised Date

2014-08-11

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201611005

Last Page

2683

CLC

TP391.9

Recommended Citation

Jiao Song, Mao Shaojie, Ju Zhenqi, Chu Wei. Selection of Simulation Model Based on Principal Component Analysis[J]. Journal of System Simulation, 2016, 28(11): 2677-2683.

DOI

10.16182/j.issn1004731x.joss.201611005