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A High-Level Fuzzy Timed Petri-Net-Based Approach

机译:高级模糊定时培养基于培养的方法

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摘要

In order to deal with the uncertain temporal knowledge of the complex real-time system and to improve the existed uncertain temporal knowledge expression and inference algorithm, a new kind of high-level fuzzy timed Petri nets was proposed based on fuzzy timed Petri nets (FTN). The uncertain temporal of the complex real-time can be quantitatively described and the time possibility can be analyzed after temporal constraint was added to resources and transitions of FTN. Finally, a case study was given to illustrate the usage of this approach. The temporal phenomena and laws of real-time system can be described more overall with HFTN. It is suitable for complex real-time system modeling and analysis.
机译:为了处理复杂的实时系统的不确定时间知识和改善存在不确定的时间知识表达和推理算法,基于模糊定时培养网(FTN)提出了一种新的高级模糊定时培养网(FTN )。可以定量地描述复杂实时的不确定时间,并且在将时间约束添加到FTN的资源和转换之后,可以分析时间可能性。最后,给出了一个案例研究来说明这种方法的使用情况。可以使用HFTN更加整体来描述实时系统的时间现象和定律。它适用于复杂的实时系统建模和分析。

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