臺灣博碩士論文加值系統

當決策者面對準則相互衝突的決策問題時，多準則決策方法（Multiple-Criteria Decision Making, MCDM）一直是被用來做為分析的最佳工具。VIKOR法於1998年被Opricovic所提出，是屬於多準則決策中最佳化妥協解方法之一，其概念係利用距離正理想解的遠近程度進行方案的排序。然而，VIKOR法在計算的公式上，容易造成過於放大反對意見的計分，無法獲得合理的排序結果。決策者在給定方案與準則間的評估值時，也存在著模糊不清的主觀語意，1986年Atanassov發表的直觀模糊加入猶豫程度的語意表達，能較模糊集合有更好的表達能力。因此，本研究將針對VIKOR法的缺失進行改良，並欲解決決策者在決策過程中的模糊不確定性，結合直觀模糊建構一混合型多準則決策方法，以期獲得較合理且符合現實的排序結果。

When decision-makers face of the guidelines conflicting decision-making, multi-criteria decision-making methods (Multiple-Criteria Decision Making, of MCDM) has been the best tool to be used as the analysis. VIKOR France in 1998 was Opricovic proposed is a multi-criteria decision making to optimize one of the compromise solution, the concept of the Department of proximity distance is the ideal solution for the sorting of the program. However, VIKOR method in the calculation formula, likely to cause too enlarge objections to the scoring, you can not get a reasonable sort results. Decision makers given the assessed value of the program and guidelines, there are also ambiguous subjective semantics, intuitionistic fuzzy Atanassov published in 1986 by adding the hesitation degree of semantic expression than fuzzy sets have a better ability to express. Therefore, this study will be modified missing for VIKOR law, and tried to solve the decision-makers in the decision-making process in the fuzzy uncertainty, combined with intuitive fuzzy construct a quality hybrid multi-criteria decision making approach in order to obtain a more reasonable and realistic sort the results .

中文摘要 i
英文摘要 ii
目錄 iii
圖目錄 v
表目錄 vi
第一章 緒論 1
1.1 研究背景與動機 1
1.2 研究目的 3
1.3 研究範圍與限制 3
1.4 研究流程 4
第二章 文獻探討 6
2.1直觀模糊概論 6
2.1.1模糊集合 7
2.1.2直觀模糊集合 7
2.1.3直觀模糊集合的基本定義 8
2.2多準則決策概論 9
2.2.1多準則決策的評估方法 10
2.2.2模糊理論在多準則決策的應用 12
2.2.3直觀模糊理論在多準則決策的應用 13
2.3 VIKOR方法概論 15
2.3.1 VIKOR法的演算步驟 17
2.3.2 VIKOR法的優缺點分析 20
2.3.2.1 VIKOR法的優點 20
2.3.2.2 VIKOR法的缺點 21
2.4 直觀模糊在VIKOR的應用 23
2.4.1 直觀模糊數的應用 23
2.4.2 直觀模糊應用在VIKOR的主要概念 23
第三章 研究方法 24
3.1 VIKOR方法的改良 24
3.2混合多準則評估方式 26
3.3建構直觀模糊與VIKOR法的多準則決策模型 28
第四章 實證分析 34
4.1 實例驗證 34
4.2 分析與討論 39
第五章 結論 47
5.1 研究成果 47
5.2 未來研究方向與建議 48
參考文獻 49

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