| 引用本文: | 王鹏,周厚顺,王树宗.物元贝叶斯网络模型研究.[J].国防科技大学学报,2009,31(1):129-134.[点击复制] |
| WANG Peng,ZHOU Houshun,WANG Shuzong.Research on the Matter-element Belief Network Model[J].Journal of National University of Defense Technology,2009,31(1):129-134[点击复制] |
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| 物元贝叶斯网络模型研究 |
| 王鹏1, 周厚顺2, 王树宗1 |
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(1.海军工程大学 兵器工程系, 湖北 武汉 430033;2.海军工程大学 管理工程系, 湖北 武汉 430033)
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| 摘要: |
| 分析了贝叶斯网络建模过程中的缺陷，结合物元理论，提出了物元贝叶斯网络理论。该理论能够融合二者的优点，既可处理复杂系统中的不确定性，又能充分利用系统中的所有信息，因此能够更好地进行复杂系统评价。 |
| 关键词: 物元贝叶斯网络 贝叶斯网络 物元理论 复杂系统 不确定性 |
| DOI： |
| 投稿日期：2008-09-09 |
| 基金项目:国家部委资助项目(101050302) |
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| Research on the Matter-element Belief Network Model |
| WANG Peng1, ZHOU Houshun2, WANG Shuzong1 |
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(1.Department of Weaponry Engineering, Naval Univ. of Engineering, Wuhan 430033, China;2.Department of Management Science, Naval Univ. of Engineering, Wuhan 430033, China)
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| Abstract: |
| Integrated with matter-element theory, a new theory of matter-element bayes network is put forward, in terms of an analysis of the limitation in the process of modeling bayes network. This new theory can syncretize each advantage of both theories, which can be used to handle the uncertainty of complex systems and make full use of all the useful information in these systems at the same time. Therefore, a better evaluation of complex systems can be obtained with this new theory. |
| Keywords: matter-element Bayes network Bayes network matter-element theory complex system uncertainty |
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