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研究生:葉陳輝
研究生(外文):Chen-Huei Yeh
論文名稱:貨櫃港口選擇決策模式
論文名稱(外文):Decision Models for Container Ports Selection
指導教授:李選士、陳基國
指導教授(外文):Hsuan-Shih Lee and Kee-Kuo Chen
學位類別:博士
校院名稱:國立臺灣海洋大學
系所名稱:航運管理學系
學門:運輸服務學門
學類:運輸管理學類
論文種類:學術論文
論文出版年:2008
畢業學年度:96
語文別:英文
論文頁數:77
中文關鍵詞:container port selectionDEAdiscrimination powerfusion methodfuzzy environmentgroup decisionTOPSIS
外文關鍵詞:container port selectionDEAdiscrimination powerfusion methodfuzzy environmentgroup decisionTOPSIS
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In order to maintain feasible schedules for container shipping services, container carrier operators are paying increasing attention to the selection of suitable ports for their services. Port selection can be formulated as multiple criteria decision making problems. Four ports selection models are proposed in this dissertation so that decision makers can choose appropriate model that meets the requirement of different scenarios. We incorporate DEA in our first and second models where ports are regarded as DMUs in the context of DEA. Unlike conventional DEA where DMUs are evaluated with different multipliers, in the first proposed model, all ports are evaluated with the same multipliers that are favorable for all ports. In the second model, we integrate DEA with TOPSIS to enhance the discrimination power. Decision makers may have different preference on the criteria for port selection. In the third model, we provide a performance fusion method so that decision makers can select port by only specifying the priority of criteria without detail weights of criteria. The last model is for group decision so that a group of decision makers can reach a decision on choosing a port-of-call under fuzzy environment.
In order to maintain feasible schedules for container shipping services, container carrier operators are paying increasing attention to the selection of suitable ports for their services. Port selection can be formulated as multiple criteria decision making problems. Four ports selection models are proposed in this dissertation so that decision makers can choose appropriate model that meets the requirement of different scenarios. We incorporate DEA in our first and second models where ports are regarded as DMUs in the context of DEA. Unlike conventional DEA where DMUs are evaluated with different multipliers, in the first proposed model, all ports are evaluated with the same multipliers that are favorable for all ports. In the second model, we integrate DEA with TOPSIS to enhance the discrimination power. Decision makers may have different preference on the criteria for port selection. In the third model, we provide a performance fusion method so that decision makers can select port by only specifying the priority of criteria without detail weights of criteria. The last model is for group decision so that a group of decision makers can reach a decision on choosing a port-of-call under fuzzy environment.
Chapter 1 Introduction 1
1.1 Motive of the research 1
1.2 Selection criteria 1
1.3 Design and overview of the research 7
2.1 Traditional methods 10
2.2 DEA methods 14
2.3 Fuzzy environment 15
Chapter 3 Decision based on fuzzy DEA 16
3.1 The data envelopment analysis model 17
3.2 The multiple criteria decision model 21
Chapter 4 Decision based on DEA-TOPSIS 23
4.1 DEA model for MCDM 23
4.2 DEA-TOPSIS 24
Chapter 5 Decision model based on performance fusion 27
5.1 Similarity of generalized triangular fuzzy numbers 27
5.2 The prioritized performance fusion method 30
Chapter 6 Group decision model based on fuzzy environment 35
6.1 Identifying strength and weakness of ports 35
6.2 Building fuzzy preference relation of ports 39
6.3 Prioritization of ports 40
6.4 Numerical example 42
Chapter 7 Illustration examples 47
7.1 Fuzzy DEA 47
7.2 DEA-TOPSIS 48
7.3 Performance fusion 50
7.4 Fuzzy group decision 58
Chapter 8 Concluding remarks 69
8.1 Summary 69
8.2 Future work 71
Bibliography 72
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