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研究生:鄭義信
研究生(外文):Yi-Hsin Cheng
論文名稱:以階層關係及浮動權重之案例式推理模式建構
指導教授:王惠嘉王惠嘉引用關係
指導教授(外文):Hei-Chia Wang
學位類別:碩士
校院名稱:國立成功大學
系所名稱:工業管理科學系碩博士班
學門:商業及管理學門
學類:其他商業及管理學類
論文種類:學術論文
論文出版年:2004
畢業學年度:92
語文別:中文
論文頁數:50
中文關鍵詞:案例式推理浮動權重階層屬性
外文關鍵詞:case-based reasoning
相關次數:
  • 被引用被引用:8
  • 點閱點閱:318
  • 評分評分:
  • 下載下載:39
  • 收藏至我的研究室書目清單書目收藏:3
  現今知識已成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。如何把知識儲存起來、以便往後重覆利用,將是現階段重要的研究課題之一。在知識管理與推理的相關研究,因領域的不同而有不同的方法。適用於不易建構條例規則且有多筆案例相關資料的案例式推理(Case-Based Reasoning)則是一例。
  一般的案例式推理,往往針對欲解決的問題領域提出多個特徵屬性,做為案例擷取之用。學者們普遍採用最近相鄰法(k nearest neighbour algorithm, KNN),藉由各個特徵屬性根據最近相鄰法來計算出各個舊有案例與問題案例的相似程度。但這些特徵屬性彼此間的關係卻都視為同一階層、同等關係,甚至是相同影響程度。雖然KNN亦加入權重來區別各個特徵屬性所影響的程度,唯本研究認為各個特徵屬性彼此間可能有從屬或階層的關係。若能將屬性之間的從屬與階層關係透過權重計算來表現出來,將有助於增加擷取相似案例的正確性。
  此外針對案例擷取的相似度計算方面,本研究提出一浮動階層式權重計算的模式,此模式將藉由將案例庫內的案例以欲解決之問題分為數個群組,各個群組擁有各自不同的浮動權重表。當新的問題案例來臨時,將問題案例直接與案例庫的各個案例進行相似度計算,其中部份屬性的權重將因案例所屬之案例群組不同,而得到不同的權重值。藉由浮動階層式權重計算,可望擷取出更適合的舊有案例,進而得到更佳的解決方式。
目 錄
誌 謝 I
摘 要 II
目 錄 III
圖 目 錄 VI
表 目 錄 VII
第一章 緒論 1
第一節、研究背景 2
第二節、研究動機與目的 4
第三節、研究範圍與限制 5
第四節、研究流程 6
第五節、論文大綱 8
第二章 文獻探討 9
第一節、何謂案例式推理 9
第二節、案例式推理相關模式 12
2.2.1 Hunt 的案例式推理模型 (1995) 12
2.2.2 Allen 的案例式推理模型 (1994) 13
2.2.3 Leake的案例式推理模型 (1996) 13
2.2.4 Aamodt & Plaza的案例式推理模型 (1994) 15
2.2.5 Finnie & Sun的案例式推理模型 17
2.2.6案例式推理是方法論 18
第三節、相似度計算 20
2.3.1數量型屬性距離 20
2.3.2性質型屬性距離 21
第四節、NRS簡介 23
第五節、CBR之相關應用 24
第三章 研究方法 25
第一節、研究構想 25
第二節、採用浮動階層式權重之原因 28
第三節、結合浮動階層式權重設計 31
3.3.1階層式權重 31
3.3.2浮動階層式權重 32
第四章 系統建構與實證 36
第一節、系統架構 36
第二節、系統建構 37
4.2.1系統建構過程 37
4.2.2知識庫建立 38
4.2.3浮動階層式權重建立 38
第三節 系統實作發展 39
4.3.1系統實作環境 39
4.3.2 資料庫設計 39
4.3.3 本系統相關的系統界面 39
第四節、實驗方法與比較項目 41
4.4.1 資料來源 41
4.4.2 評估指標 41
4.4.3實驗項目 42
第五節、實驗結果與討論 43
第五章 結論與建議 45
第一節、研究結論與建議 45
第二節、未來研究方向 46
參考文獻 47
中文部份
林建昇,「以知識圖呈現知識之實證研究」, 國立中正大學資訊管理研究所碩士論文,民國89年

英文部份
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