知識擷取法發展至今仍被視為是發展知識庫系統最為重要的方法。如何有效擷取人類專家解決特定問題時所用的知識，並將知識成功應用於知識庫決策支援系統的開發上，一直是許多研究所力求的目標。對於知識源頭及所擷取出的知識所隱含的品質問題，在過去的知識擷取以及系統的開發過程中卻常被忽略。因此本研究為了有效擷取專家知識，以凱利方格法作為知識擷取的工具，並將擷取出的專家知識與大量的案例資料集結合，再配合Generalized Breslow-Day檢定及Generalized Cochran-Mantel-Haenszel (CMH)檢定，以完成專家知識品質之評估，並透過分析後的結果提供正確的資訊協助專家修正其錯誤的知識概念。最後，本研究將此模式應用於評估試管嬰兒領域專家的知識品質，並希望透過醫學上已證實的理論知識，驗證本研究所提出之方法的可行性與有效性。

Knowledge acquisition methods have so far been developed to be considered the most important methods in the development of Knowledge-Based Systems. How to acquire the knowledge of human experts in solutions to specific problems effectively and how to successfully apply the knowledge acquired to the creation of the knowledge-based decision support systems have always been the goals that many researches strive for.
In the past, the source of knowledge and its quality have often been ignored in knowledge acquisition and system development processes. Therefore, to elicit expertise effectively, this paper uses Repertory grid technique as knowledge acquisition tool, combines the expert knowledge elicited with a case-base database, and assesses expert’s knowledge quality using Generalized Breslow-Day test and Generalized Cochran-Mantel-Haenszel (CMH) test. Through analysis, the results provide accurate information to help experts correct their erroneous knowledge concepts. Finally, the research applies this model in the evaluation of knowledge quality of In Vitro Fertilization domain experts. Through accepted medical theories, the research expects to certify the practicability and validity of the method postulated in this paper.

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