| Summary: | 碩士 === 龍華科技大學 === 電子系碩士班 === 94 === In this knowledge explosion era, while technology is advancing rapidly with each passing day, the structures and the functions of systems become more and more complicated. In addiction, the fuzzy, uncertain, nonlinear, and time variant events and factors occur in the complicated system; thus, we will face a problem in analyzing controlled system, for not being able to completely describe the complicated system’s organization and property by precise mathematic models. Therefore we have difficulties in system controlling. In this era, everything requires efficiency. It is a very worth attention and worth studying issue for programmers to reduce time for developing the controlled system.
In this research, I will discuss two different infereed systems: Fuzzy Theory and Petri Net. Fuzzy Theory’s inference rules will be applied in Petri Net’s transitions. These two inference theories will be integrated and interpreted so as to be a Petri Net graphic model which can interpret the whole fuzzy control system. Moreover, a set of software simulation analyzing tool, which embodies this research’s definition model, with dialogue windows interface, will be developed. In this way, we can build a more efficient system inference software tool. By this tool, we can prove correctness and practicability of this definition model in order to offer important tools and references to the future researchers in the related field.
|
|---|
