Credibility Evaluation Method of Small Sample Data Based on Cluster Cloud Model

Authors

Jianmin Wang, 1. Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, Beijing 100094, China; ;
Yunjie Wu, 2. School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100083, China;

Abstract

Abstract: In practical engineering, the system credibility evaluation with small amount of data and no evaluation criteria has always been a difficult problem for engineers. Aiming at this problem, a small sample data credibility evaluation method combining clustering method and cloud model is proposed. The clustering method is used to calculate the cluster center value for the small sample, and the cloud model is established based on this. The expanded value for small sample data is generated by the cloud model. The credibility of small sample data can be calculated according to the confidence distribution of cloud drops. It can fully exploit the implied information in the small sample data by combining the clustering method with the cloud model, which can increase the effectiveness of the evaluation. The case analysis and simulation are carried out to prove the validity and rationality of the proposed method.

Recommended Citation

Wang, Jianmin and Wu, Yunjie (2019) "Credibility Evaluation Method of Small Sample Data Based on Cluster Cloud Model," Journal of System Simulation: Vol. 31: Iss. 7, Article 3.
DOI: 10.16182/j.issn1004731x.joss.19-0202
Available at: https://dc-china-simulation.researchcommons.org/journal/vol31/iss7/3

First Page

1263

Revised Date

2019-06-24

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.19-0202

Last Page

1271

CLC

TP391.9

Recommended Citation

Wang Jianmin, Wu Yunjie. Credibility Evaluation Method of Small Sample Data Based on Cluster Cloud Model[J]. Journal of System Simulation, 2019, 31(7): 1263-1271.

DOI

10.16182/j.issn1004731x.joss.19-0202