基于AHP和熵值模型的军事竞赛研究与仿真

doi:10.16182/j.issn1004731x.joss.201802038

系统仿真学报 ›› 2018, Vol. 30 ›› Issue (2): 679-690.doi: 10.16182/j.issn1004731x.joss.201802038

基于AHP和熵值模型的军事竞赛研究与仿真

鞠儒生, 朱正秋, 曾云秀, 王瑞贤, 邱晓刚

国防科技大学系统工程学院,湖南长沙 410073

收稿日期:2016-01-08 出版日期:2018-02-08 发布日期:2019-01-02
作者简介:鞠儒生(1976-),男,江苏泰兴,博士,副教授,研究方向为系统仿真;朱正秋(1994-),男,江苏淮安,硕士生,研究方向为系统仿真。
基金资助:
大学生创新项目(B43451332324)

Research and Simulation for Military Contests Based on AHP and Entropy Models

Ju Rusheng, Zhu Zhengqiu, Zeng Yunxiu, Wang Ruixian, Qiu Xiaogang

Institute of Systems Engineering National University of Defense Technology, Changsha 410073, China

Received:2016-01-08 Online:2018-02-08 Published:2019-01-02

摘要/Abstract

摘要： 针对近来在军事院校间热门的综合性军事竞赛进行深入研究,不同于以往相关课题的定性分析方法,本文通过建立AHP主成分分析模型,分析了综合性军事竞赛中各个训练科目对于学员各项能力素质指标以及综合能力提升的影响,之后运用大量数据通过熵值模型分析了AHP模型的合理性,最后在文中将这些影响值作为仿真模型的输入,建立了基于Arena软件的离散事件模型,模拟了综合性军事竞赛前训练的整个过程,进一步验证了研究结果。本文的研究成果对于提出和制定更加合理的训练方案有着很好的指导意义。

关键词: AHP模型, 熵值模型, 离散事件仿真, Arena软件

Abstract: The paper studiesthe comprehensive military contests which are held frequently among military universities. Different from the qualitative analysis methods before, an analytic hierarchy process model is set up to analyze the effects which training programs have on students. A great amount of data is put into the entropy model to analyze the rationality of AHP model. This paper also sets the effect value as the input data of the emulating model to simulate the whole exercise process before contests which can verify the results received from AHP and entropy models. Research findings are helpful for superior leaders to make more rational exercise schemes.

Key words: AHP model, entropy model, discrete incident model, arena software

中图分类号:

TP391.9

鞠儒生, 朱正秋, 曾云秀, 王瑞贤, 邱晓刚. 基于AHP和熵值模型的军事竞赛研究与仿真[J]. 系统仿真学报, 2018, 30(2): 679-690.

Ju Rusheng, Zhu Zhengqiu, Zeng Yunxiu, Wang Ruixian, Qiu Xiaogang. Research and Simulation for Military Contests Based on AHP and Entropy Models[J]. Journal of System Simulation, 2018, 30(2): 679-690.

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基于AHP和熵值模型的军事竞赛研究与仿真

Research and Simulation for Military Contests Based on AHP and Entropy Models

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