The Method Study Of Fuzzy Petri Nets Base Accident Causation Analysis

As an efficient tool for modeling an analysis, Petri Nets have been rapidly developed, in recent years, as a pure theoretical tool, Petri Nets is not suitable for the demand of all applications. So, in view of the different fields, many scholars proposed various improved Petri Nets theories, such as stochastic Petri Nets, Coloerd Petri Nets, Fuzzy Petri Nets which has been universally applied in recent years, and so on. As an important branch of Petri Nets, Fuzzy Petri Nets are increasingly attracted the interest of the people.Since Fuzzy Petri Nets accord with human thinking and cognitive style, they act with broad meaning in the description and analysis of the paralle and concurrent actions of many systems and even social systems, particularly in the application of human knowledge representation and artificial intelligence, and many scholars have been investigated in this context.In the study of Fuzzy Petri Nets reasoning algorithms, we found that the process of backward reasoning algorithm is complicated and inefficient, if we use mathematical foundations for reasoning, we can make the algorithm more simply, easily and efficiently. Based on the Fuzzy Petri Nets theory, we define a new Fuzzy Petri Nets model which is called Reverse Fuzzy Petri Nets and then propose a new reasoning method, The algorithm fully takes advantage of mathematics foundation of Petri Nets, using the new reasoning method, the process of complex reasoning algorithm and the shortage problem of low efficiency have been solved. When study the accident cause, we often get initial state values, at this time we often use forward reasoning algorithm, although the forward reasoning algorithm method is simple, easy, efficien and can reflect the change process of the system, also can get all the state of a system. But it cannot show how each initial state influence the next state and the result state. By studying the nature and characteristics of the weighted Fuzzy Petri Nets, we propose the the Weighted Fuzzy Petri Nets with impact factor to analyze the influence degree between the proposition. Finally through the example, in this paper, the results demonstrate the feasibility of the method.