目前流程探勘理論與工具已經有一定程度上的發展，也已發展數種探勘的演算法可供選擇，而透過探勘工具使用不同演算法所探勘出之企業流程模型也會因此有異。當經由探勘演算法所探勘出的流程模型會執行出原事件記錄檔所不會出現的情況時，代表所探勘出的流程模型是一個比較多過原始記錄檔內所包含的路徑。因此基於在現階段所開發出的流程探勘演算法所探勘出的流程模型下，利用模擬軟體模擬流程模型時，僅會依據探勘工具所探勘出之流程模型之程序執行模擬邏輯，而無法分辨所模擬之情況是否與原始記錄檔中所包含的記錄或是路徑相符。
而派式網路(Petri nets)是一種兼具圖形與數學理論基礎的系統塑模工具，可表達出商業流程的同步與互斥行為。因此我們可以利用派式網路搭配CPN tools模擬流程軟體，模擬其中各種可能發生之情況。
因此本計畫研究發展出一套利用模糊數學的方法並搭配CPN tool模擬軟體使其可以具體的運用事件順序發生次數之機率的解析與路經先後發生時間間隔得到所需要的每一條路徑所發生之比率，進而在模擬軟體中加入限制條件的語意變數使其透過模擬軟體模擬後能夠更趨近原事件記錄檔所出現之路徑，如此當模擬時就可以更貼近原事件記錄檔使其更符合原本企業流程所要表達之內容。

Log events related to the actual execution of business processes. Proper analysis of these execution logs can yield important knowledge that can help organizations to improve the quality of their services. In this research, a fuzzy Petri-net based simulator was developed to simulate the behavior of the log according the behaviors of the log. In generally, each transition in the PN model was controlled by a fuzzy controller. The logic and frequency of the log was analyzed and used as the fuzzy control variables. Various kinds of log were used in the test cases and the types of traces and their frequency were examined to evaluate the effective of the model. The developed simulator can be used to support the behavior analysis the respective real world environment.

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