电光与控制, 2012, 19 (5): 68, 网络出版: 2012-05-11
基于面向对象概率关系模型的威胁级别评估
Threat Level Assessment Based on ObjectOriented Probabilistic Relational Model
贝叶斯网络 面向对象概率关系模型 威胁评估 态势评估 Bayesian Network objectoriented probabilistic relational model threat level assessment situation assessment
摘要
针对传统贝叶斯网络对复杂对象建模存在的问题，分析了面向对象的概率关系模型。建立基于面向对象概率关系模型知识库的贝叶斯网络生成算法，建立战场威胁级别评估模型，并实现对威胁级别的评估。仿真结果证明了该方法的有效性，并且具有比贝叶斯网络模型更强的建模能力。
Abstract
Considering some of the limitations of Bayesian Network (BN) in modeling complex domainsthe ObjectOriented Probabilistic Relational Model (OPRM) was analyzed.Then an algorithm for generating Bayesian Networks from the knowledge base of OPRM was proposed.A model for threat level assessment was developed and the result of threat level assessment was given.Simulation results demonstrate that the proposed method is effective and more powerful in modeling complex objects than Bayesian Networks.
姚臣, 周锐, 丁全心. 基于面向对象概率关系模型的威胁级别评估[J]. 电光与控制, 2012, 19(5): 68. YAO Chen, ZHOU Rui, DING Quanxin. Threat Level Assessment Based on ObjectOriented Probabilistic Relational Model[J]. Electronics Optics & Control, 2012, 19(5): 68.
PDF全文
