An evaluation method of equipment support resources based on evidential reasoning

被引：0

作者：

Zhou Z.-J. ^{[1
]}

Liu T.-Y. ^{[1
]}

Li F.-Z. ^{[2
]}

Zhao F.-J. ^{[1
]}

Hu G.-Y. ^{[3
]}

Yu C.-Q. ^{[4
]}

机构：

[1] Department of Control Engineering, Rocket Force University of Engineering, Xi'an

[2] Troops of No. 96602, Beijing

[3] College of Information Science and Technology, Hainan Normal University, Haikou

[4] Department of Launch Engineering, Rocket Force University of Engineering, Xi'an

来源：

Kongzhi yu Juece/Control and Decision | 2018年 / 33卷 / 06期

关键词：

Equipment support resources; Evaluation; Evidential reasoning; Index system; Parameters optimization;

D O I：

10.13195/j.kzyjc.2017.0288

中图分类号：

学科分类号：

摘要：

In order to solve the shortcomings of the current multi-attribute decision-making analysis in dealing with the uncertainty, this paper proposes an evaluation method of equipment support resources based on evidential reasoning. To obtain the evaluation level, various types of information under uncertainty is integrated. Firstly, the evaluation index system of equipment support resources is established and the weights are obtained from expert knowledge. Then, the data of index is transformed into an unified belief framework using the rule-based transformation techniques, and the evaluation model is developed based on evidential reasoning. Aiming at the difficulty of subjective determination of model parameters, a nonlinear optimization model is proposed and the optimal parameters are obtained based on the projection covariance matrix adaptation evolution strategy. A practical evaluation and comparative analysis example of a unit's equipment support resources are studied to validate the effectiveness of the proposed evaluation method. © 2018, Editorial Office of Control and Decision. All right reserved.

引用

页码：1048 / 1054

页数：6

共 18 条

[1]

Shan Z.W., Equipment Comprehensive Protection Project, pp. 332-335, (2007)

[2]

Chen G.Q., Zhang Z.Q., Zhang W., One method to assess the ability of planning guaranteed resources of radar equipment based on D-S evidence theory, Modern Electronics Technique, 28, 21, pp. 11-13, (2005)

[3]

Ma X.F., Liu J., He H.L., Evaluation of equipment support resources based on neural network, J of Equipment College, 16, 1, pp. 40-43, (2015)

[4]

Guo H.X., Approach to evidence combination based on fuzzy theory and its applications, Control and Decision, 23, 2, pp. 229-232, (2008)

[5]

Han D.Q., Yang Y., Han C.Z., Advances in DS evidence theory and related discussions, Control and Decision, 29, 1, pp. 1-11, (2014)

[6]

Chen Y.W., Gao Y.F., Survey of extended Bayesian networks, Control and Decision, 23, 10, pp. 1081-1086, (2008)

[7]

Li J.C., Hu Y.Q., Qin G.J., Et al., Optimizing method for fault diagnosis strategy based on Bayesian networks, Control and Decision, 18, 5, pp. 568-572, (2003)

[8]

Stephenson T.A., An introduction to Bayesian network theory and usage, (2000)

[9]

Bresnick T.A., Buede D.M., Tatman J.A., Introduction to Bayesian networks, The 66th MORS Symposium, pp. 23-25, (1998)

[10]

Chen X.W., Wang X.Z., Li C.R., Et al., Evaluation ofweapon equipment project based on fuzzy theory, Firepower and Command Control, 37, 8, pp. 23-27, (2012)

← 1 2 →