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不确定性时间知识推理和验证算法及列车群建模分析
引用本文:杜彦华,刘春煌,叶阳东.不确定性时间知识推理和验证算法及列车群建模分析[J].铁道学报,2005,27(3):1-8.
作者姓名:杜彦华  刘春煌  叶阳东
作者单位:1. 铁道科学研究院,电子计算技术研究所,北京,100081
2. 郑州大学,信息工程学院,河南,郑州,450052
摘    要:时间知识的推理和验证技术对列车群行为建模分析具有重要意义,是其实施关键。本文在原来工作的基础上,引入模糊时间区间、扩展模糊时间Petri网(EFTPN)及可能性值运算等内容,提出了一种基于EFTPN的不确定性时间知识推理和验证算法。该算法效率高,占用空间少;不但能够进行不确定性时间信息的精确推理,而且适用面更广,可以较好解决复杂情况下的时间推理和验证问题。

关 键 词:时间知识  扩展模糊时间Petri网  模糊时间区间  可能性理论
文章编号:1001-8360(2005)03-0001-08
修稿时间:2004年12月21

Fuzzy Temporal Knowledge Reasoning and Validating Algorithm and Its Application in Modeling and Analyzing Operations of Train Group
DU Yan-Hua,LIU Chun-huang,YE Yang-dong.Fuzzy Temporal Knowledge Reasoning and Validating Algorithm and Its Application in Modeling and Analyzing Operations of Train Group[J].Journal of the China railway Society,2005,27(3):1-8.
Authors:DU Yan-Hua  LIU Chun-huang  YE Yang-dong
Institution:DU Yan-hua~1,LIU Chun-huang~1,YE Yang-dong~2
Abstract:Reasoning and validating of temporal knowledge are very important in modeling and analyzing operations of a train group, and are the key technology of its implementation. To continue the former researching, we introduce fuzzy time intervals, extended fuzzy timing Petri nets, operations of possibility theory and so on. Then we put forward an algorithm of reasoning and validating of fuzzy temporal knowledge based on extended fuzzy timing Petri nets. Firstly, the algorithm is more efficient, need less space, and can accurately reason and validate the fuzzy temporal knowledge. Secondly, it is suitable to more situations, and can solve complicated problems of temporal knowledge reasoning.
Keywords:temporal knowledge  extended fuzzy timing Petri nets  fuzzy time interval  possibility theory
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