An Intuitionistic Fuzzy Petri Net Reasoning Algorithm Of Optimization By Using Rescheduling Strategy

Research and development of the basic theory of Petri nets is now quite mature. Currently, the practical application of research in the field has become a focus of research Petri nets. However, the traditional theory of Petri nets can not be processed due to non-deterministic information, resulting Petri nets in modeling, processing and analysis of uncertain systems flexibility when lacking. For this reason, these researchers have proposed many years extended Petri net model under various practical applications, fuzzy Petri nets are Petri net theory of fuzzy set theory combine with an advanced topology formed in uncertain knowledge representation and reasoning fields has been widely used.But with the development of science and technology and the continuous improvement of people's lives, especially the development of information technology, people studied the system size increases, more substantial, but the uncertainties are endless. The current hot research issues typically include: issues of qualitative and quantitative problems between certainty and uncertainty, hybrid systems and other issues. Traditional fuzzy set theory can not get all the information also will highlight flaws. To overcome this problem, this article will have a relatively strong communication skills and ability to deal with uncertain information intuitive fuzzy set theory is introduced to Petri nets, fuzzy Petri nets formed intuition.This paper intuitive knowledge of fuzzy production represents a detailed elaboration while introducing library rearrangement strategy, referring to the relevant fuzzy set theory intuition, and then proposes a new algorithm for intuitionistic fuzzy reasoning Petri nets. To verify the practical application of the algorithm, this article will be applied intuition fuzzy Petri nets in the "Automotive Engine Fault System". By understanding the automobile engine fault system to build intuition fuzzy Petri net model, and then use the proposed algorithm to be reasoning and analysis, reflects this algorithm deal with practical problems in the analysis of convenience.