知識為企業最珍貴的資產，如何運用相關資訊科技保存企業的知識資產，將是企業取得競爭優勢之關鍵。在知識管理與推理的相關研究中，因領域的不同而有不同的方法，其中，適用於不易建構條例規則或知識不完整的情境下的案例式推理(Case-Based Reasoning)則是一例，案例式推理一個相當關鍵，也相當重要的議題即是如何從過去的案例中，找出最相似於現在問題的案例，一旦找出和現在問題幾近相同的案例，若過去的解決方法已可相當完善的解決問題，那麼套用在現今的問題，勢必亦可獲得較好的解決。最近相鄰擷取(nearest-neighbor retrieval)是最為普遍使用的擷取法，學者大多將最近相鄰擷取法的概念，轉換成相似測度（similarity measure）的方式表示。本研究針對最近相鄰擷取法在擷取案例時所會遭遇到的問題，進行改善，並提出導入模糊語意的相似測度擷取流程，該擷取方法主要是參考Jeng與Liang(1995)模糊索引概念，本研究承接此概念，混合歸納式擷取法於最近相鄰擷取法中，先將部分相似度高的候選案例篩選出來，再計算候選案例與目標案例間的相似度。在相似度的計算上，本研究也提出了二個相似測度公式，進行該擷取流程的最後階段相似度計算工作，期望經由本研究所提的擷取流程能使得案例擷取時更具彈性，以提昇案例擷取品質。

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【中文部分】
林志明，民國88年，「應用案例式推理、灰色關聯分析法發展產品設計評估決策支援系 統」，中央大學工業管理研究所碩士論文。
黃弘毅，民國90年，「設計概念階段之產品知識建構與應用-以案例式推理法為例」，東海大學工業設計研究所碩士論文。
黃志仁，民國93年，「利用人類記憶結構提升案例式學習法中個案擷取效率」，國立成功大學工業與資訊管理研究所碩士論文。
許彥信，民國92年，「結合模糊理論以及貝氏分類器應用於案例式推理系統」，國立台北科技大學工業工程與管理研究所碩士論文。
鄭義信，民國93年，「以階層關係及浮動權重之案例式推理模式建構」，國立成功大學工業與資訊管理研究所碩士論文。
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