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A New Fuzzy Petri Net Model for Knowledge Representation and Reasoning

机译:一种新的知识表示和推理的模糊Petri网模型

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Petri Nets (PN) models and net theory have become an important computational paradigm to represent and analyze a broad class of systems. As a computational paradigm for intelligent systems, net theory provides a graphical language to visualize, communicate and interpret engineering problems, as well as a specification and engineering language which can be used as a development, simulation and implementation tool (6). PN have the ability to represent and analyze in an easy way concurrency and asynchronization phenomena, like concurrent evolutions, where various processes that evolve simultaneously are partially independent. Furthermore, PN approach can be easily combiend with other techniques and theories such as object-oriented programming, fuzzy sets, neural networks, etc. These combined PN are widely used in computer systems, manuufacturing systems, robotic systems, knowledge based systems, process contorl, as wel las other kinds of engineering applications.
机译:Petri网(PN)模型和网络理论已成为表示和分析广泛系统类别的重要计算范例。作为智能系统的计算范例,网络理论提供了一种图形化的语言来可视化,交流和解释工程问题,以及一种规范和工程语言,可用作开发,仿真和实现工具(6)。 PN具有轻松表示并分析并发和异步现象的能力,例如并发演化,其中同时演化的各种过程在某种程度上是独立的。此外,PN方法可以轻松地与其他技术和理论相结合,例如面向对象的程序设计,模糊集,神经网络等。这些组合的PN广泛用于计算机系统,制造系统,机器人系统,基于知识的系统,过程控制,以及其他各种工程应用。

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