為了幫助腐蝕工程師與設備工程師精準且有效率的挑選合適的耐蝕性合金，本研究開發一耐蝕合金挑選專家系統，其中模擬相關領域專家挑選材料的思考邏輯，而採用階層式的案例比對推理手法，先從範圍較廣且精準度較低的材料具體層級（此指合金種類）進行推論，再把範圍縮小到高精準度的材料細節層級（此指合金規格）。

在本研究中，建構系統的關鍵在於如何擷取相關領域專家與文獻中的知識，於是知識工程師採用不同的知識擷取手法分析不同層級與類型的知識，在針對合金種類與合金規格的可數值化知識時採用材料抉擇陣列來擷取：而在合金規格中的無法數值化的知識，特別是耐蝕相關知識，則是先行透過從專家及文獻所提供的經驗公式，將其轉換成數值的結果之後，在利用集群分析加以分級，此些擷取知識的手法皆可以有效率的將專家與文獻的知識導入系統中，進而符合一個耐蝕合金專家系統的需求。

最後，本研究列舉六個中華民國防蝕工程學會年會論文中的真實案例作為系統的驗證，系統推論之結果經過專家的審查與確認後，認為其推論之材質非常適用於案例所處之環境下。因此，藉由以上的評估，本系統將可預期成為一項在耐蝕合金挑選上非常有用之協助工具。

To help engineers and designers efficiently and precisely to select the optimal anticorrosion alloys (ACAs), this work is carried out to develop an expert system with the Hierarchical Case-Based Reasoning (HCBR) approach which simulates the logics of the materials selection process from the lower precious embodiment stage(alloy class) to the finally precious detail stage (alloy specification) .

In this study, the key to the establishment of an expert system is to acquire knowledge from the domain experts or documents to help identify the materials. Knowledge engineers use the distinguishable knowledge acquisition approach to analyze the knowledge of different stages of materials. Decision metrics are used to collecte alloy class and quantitative knowledge of alloy specification. Empirical equations designed by experts and documents are used to analyze the qualitative knowledge (especially corrosion type resistance) of alloy specification, and then cetogorize the values calculated by the equations with cluster analysis method. This acquisition approach allows format the knowledge into the forms that can be effectively adopted by computer programming.

The developed system is then demonstrated by using the six real cases from the theses of The Corrosion Engineering Association of the Republic of China. The system is able to infer appropriate ACAs for each case through the domain experts’ examinations and agreements. Therefore, it can be expected that this system can become a useful ACAs selection tool depending on the evaluation.

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