系统工程与电子技术
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郑寇全1,2，雷英杰1，王睿1，邢雅琼1
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ZHENG Kou-quan1,2, LEI Ying-jie1, WANG Rui1, XING Ya-qiong1
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摘要：
针对模糊贝叶斯网络模型对复杂不确定性时间信息描述和推理方面的局限性，给出了直觉模糊贝叶斯网络的定义，并将直觉模糊时序逻辑理论与贝叶斯网络推理相融合，构建了直觉模糊时间贝叶斯网络(intuitionistic fuzzy time Bayesian network， IFTBN)模型，提出了基于IFTBN的不确定性时间推理算法，较好地解决了态势估计中不确定性时间推理精度不高的问题，提高了军事态势评估系统形成正确战场感知的作战效能。最后通过典型实例验证了该时间推理方法的有效性和优越性。
Abstract:
To overcome the constraint of the fuzzy Bayesian network on description and reasoning for complex and uncertain time information, the conception of the intuitionistic fuzzy Bayesian network is proposed. The intuitionistic fuzzy time series logistic and the reasoning based on the Bayesian network are combined to construct the intuitionistic fuzzy time Bayesian network (IFTBN) model. Meanwhile, the uncertain time reasoning based on IFTBN is advanced. The method can better figure out the problem of low time reasoning accuracy in situation assessment and improve the performance of shaping the proper battle sense in a military situation assessment system. The typical hypothesized battle environment validates the presented approach’s efficiency and its superiority.
郑寇全，雷英杰，王睿，邢雅琼. 基于IFTBN的不确定性时间推理方法[J]. 系统工程与电子技术, doi: 10.3969/j.issn.1001-506X.2014.10.16.
ZHENG Kou-quan, LEI Ying-jie, WANG Rui, XING Ya-qiong. Method of uncertain temporal reasoning based on IFTBN[J]. Systems Engineering and Electronics, doi: 10.3969/j.issn.1001-506X.2014.10.16.
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链接本文: https://www.sys-ele.com/CN/10.3969/j.issn.1001-506X.2014.10.16
https://www.sys-ele.com/CN/Y2014/V36/I10/1994
