智慧型多準則決策支援研究：以交談式遺傳演算法為基礎的模型

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許芳誠(Fang-Cheng Hsu) 查詢紙本館藏

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論文名稱

智慧型多準則決策支援研究：以交談式遺傳演算法為基礎的模型
(A Study on Intelligent Multi Criteria Decision Support: IGA-based Model)

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摘要(中)

由於對決策本質的新體認，多準則決策(Multiple Criteria Decision Making; MCDM)方法也因此興起。從學界關於多準則決策方面的研究文獻中，可以看到多準則決策方法論還存在一些挑戰，特別是面對一些屬於「決策者的目標函數未知」、「決策者的偏好隨著決策分析進行而改變」和「解答空間極大」同時存在的「目標函數未知的複雜多準則決策問題」時，我們發現多準則決策方法應該還有進一步發展的空間。交談式遺傳演算法(Interactive Genetic Algorithms; IGA)除了在本質上適合作為多準則決策模式的核心技術外，還具備其他多準則決策技術少有的特性。本研究從支援決策者進行「邊尋邊選」的觀點，提出一個「以交談式遺傳演算法為基礎的智慧型多準則決策支援模型」解決上述的多準則決策問題。此外，我們發現IGA要能實際運用於支援解決「目標函數未知的複雜多準則決策問題」，必須先克服IGA演化耗時的問題，因此我們進一步提出改善IGA的適應值給定策略。本研究的個案實驗結果顯示：本研究所提模型用於解決二個「目標函數未知的複雜多準則決策問題」研究個案上，其績效顯著的優於傳統What-if模型及IPM (Interactive Programming Method)模型。在IGA演化績效的改善問題方面，個案研究結果也支持本研究所提的分頁「相對距離」策略顯著的優於傳統「全體評比」策略及「偏差」策略。除了上述的貢獻外，本研究模型所提出的隱性基因概念對IGA的應用也深具啟發意義。

關鍵字(中)

★ 多準則決策支援
★ 交談式遺傳演算法
★ 決策支援系統

關鍵字(英)

★ multi-criteria decision support
★ interactive genetic algorithms
★ decision support systems

論文目次

封面
目次
第1章緒論
1.1 研究動機
1.2 研究目的
1.3 本研究的重要性
1.4 本研究的貢獻
1.5 研究範圍與論文架構
第2章文獻探討
2.1 決策的觀念
2.2 決策支援
2.3 單目標決策
2.4 多準則決策
2.5 多準則決策支援
2.6 解決多目標最佳化問題的概念模型
2.7 好的多準則決策支援程序
第3章遺傳演算法與交談式遺傳演算法
3.1 遺傳演算法
3.2 交談式遺傳演算法
第4章系統模型及IGA演化績效之改善
4.1 目標函數未知的複雜多準則決策支援系統模型
4.2 交談式遺傳演算法演化績效之改善策略
第5章個案一:以IGA為基礎的臉譜設計決策支援
5.1 個案一背景
5.2 以IGA為基礎的臉譜設計支援模型
5.3 個案一之研究問題
5.4 個案一之研究設計
5.5 個案一之研究結果
第6章個案二:旅遊行程規劃決策支援
6.1 個案二背景
6.2 以IGA為基礎的旅遊行程規劃決策模型
6.3 個案二之研究問題
6.4 個案二之研究設計
6.5 個案二之研究結果
第7章結論與討論
7.1 研究發現
7.2 研究貢獻
7.3 研究限制
7.4 未來研究方向
參考文獻
附錄

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指導教授

陳稼興(Jiah-Shing Chen)

審核日期

2000-11-17

推文