臺灣博碩士論文加值系統

本研究旨在引用以模糊數理規劃(fuzzy mathematical programming)建構經營經驗影響下，跨國最適序列投資評選模式。因為任一投資區域之預定營運報酬達成時間，通常受到前面已投資區域的經營經驗影響，故實際估計其值實屬不易。因此，本研究藉由導入路徑效能與序列效能等概念，將極小化「所有投資區域預定營運報酬之期望達成時間」，轉換成極大化「全部投資區域序列效能之總合」，並引用模糊數理規劃理論建構序列投資最適評選模式。由於模式複雜度相當高，故本研究以近二十年頗受研究者歡迎之基因演算法為基礎，發展求解程序，藉以求取最短時間內達至預定營運能力之投資推進路徑。

目錄
頁次
第一章 緒論 1
1.1 研究背景 1
1.2 研究動機與目的 1
1.3 論文架構 3
第二章 文獻探討 5
2.1 跨國投資 5
2.2 國際市場進入型態 7
2.3 國際市場推進模式 8
2.4 模糊數理規劃模式 9
2.4.1「彈性規劃」(flexible programming)階段 10
2.4.2 「可能性規劃」(possibilistic programming)階段 10
2.4.3「穩健規劃」(robust programming)階段 11
2.5 基因演算法 12
第三章 相關基礎理論 14
3.1 模糊數理規劃 14
3.1.1 模糊數理規劃概述 14
3.1.2 模糊集合(Fuzzy Sets) 17
3.1.3 隸屬函數(Membership Function) 17
3.1.4 模糊數(Fuzzy Number) 18
3.1.5 可能性(Possibility)與必然性(Necessity) 19
3.1.6 數值範例 20
3.2 基因演算法 22
3.2.1 基因演算法概述 22
3.2.2 基因演算法之運算 23
第四章 模式建構 24
4.1 最適序列投資評選模式 25
4.2 名詞界定 27
4.2.1 經營經驗影響 27
4.2.2 經營經驗影響指標 28
4.2.3 路徑效能 28
4.2.4 序列效能 29
4.2.5 純序列效能與多元序列效能 29
4.3 數學模式之推演 29
4.3.1 基本假設 30
4.3.2 「0-1整數規劃模式」 32
4.3.3 模糊數理規劃模式： 35
4.4 GAs求解 37
第五章 範例求解 40
5.1 問題敘述 40
5.2 求解流程 40
第六章 結論與建議 45
6.1 結論 45
6.2 建議 46
參考文獻 48
圖目錄
圖1-1：本研究之流程圖 4
圖3-1：模糊數理規劃方法圖 16
圖4-1：模式建構流程圖 24
圖4-2：集中化序列投資策略圖 26
圖5-1：收斂圖 43
圖5-2：收斂圖 43
表目錄
表2-1：跨國企業之定義表 6
表2-2：國際市場進入型態 7
表5-1： 之估計表 41
表5-2： 之估計表 42

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