工程專案對於執行問題的處理方式，目前仍多依循經驗法則，本研究有鑑於此，乃發展一個模糊類神經程序(Fuzzy Neural Approach)，用以擷取及整合專家知識。本研究結合倒傳遞類神經網路(Back-Propagation Neural Network, BPNN)及知識庫模糊類神經網路(Knowledge-Based Fuzzy Neural Network, KBFNN)來建構知識庫，可以分析先行後續階段中執行問題之間的因果關係，及其對工程專案整體目標之影響，最後利用MS Access建構問題診測系統，將知識庫整合以方便使用者查詢運用。本研究以近年來迅速地在台灣發展之專業營建管理(Professional Construction Management, PCM)為例，建立PCM執行問題診斷知識庫。本研究成果經專家驗證之後，於實務上亦為合理且可接受，能夠提供PCM於工程專案執行管理與控制之參考。

Most problems encountered in the execution of engineering projects are treated in an empirical manner. For this reason, this paper proposes a new Fuzzy-Neural Approach to gather the doman knowledge of experts. Back-Propagation Neural Network (BPNN) and Knowledge-Based Fuzzy Neural Network (KBFNN) are combined in this approach, so as to confirm the causal relationships of these problems and the influence upon the whole project. In addition, the data is integrated into a database management system by using MS Access to facilitate search inquiries and to make the information available to applications by other users. Finally, a case study of Professional Construction Management (PCM) is validated by experts, and the results of this approach are reasonable and acceptable in practice. This instrument is useful because it can yield fruitful results in public construction project management.

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