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

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

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.

Key words: clustering method, cloud model, credibility evaluation, small sample data

CLC Number:

TP391.9

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.

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