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研究生:陳亭羽
研究生(外文):Chen, Ting-Yu
論文名稱:評估準則重要性求解之靜態,動態分析及其在交通運輸之應用
論文名稱(外文):Static and dynamic analyses of importance-assessing for evaluation criteria and applications on transportation
指導教授:張新立, 曾國雄
指導教授(外文):Hsin-Li Chang, Gwo-Hshiung Tzeng
學位類別:博士
校院名稱:國立交通大學
系所名稱:交通運輸研究所
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:1998
畢業學年度:86
語文別:中文
論文頁數:285
中文關鍵詞:準則重要性交通運輸
外文關鍵詞:criteriaimportancetransportation
相關次數:
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本研究之主要目的,係建立可模化人類偏好結構與多目標決策行為之理論
架構與方法論.與以往研究不同處,在於本研究考量現實問題之需要,同時
提出重要程度求解之靜態,動態分析.其次,本研究克服一般模糊測度於實
務應用時所遭遇之困難,利用實驗設計技術發展資料收集程序,並以基因演
算法進行求解程序設計.再者,以個人行為為基礎來構建動態權重與重要程
度之求解方法,而且,亦將資訊提供之效果納入考慮.
The main objective of this dissertation is to develop a
theoreticalframework and methodology that can model the human
preference structureand capture multiple criteria decision-
making. The work presented inthis dissertation is different from
previous studies in a number ofsignificant aspects. First, the
static and dynamic analyses regardingthe importance of
evaluation criteria were conducted to denote decision-makers''
preference structure. Second, this study surmounted the
implementationdifficulties of general fuzzy measures in practice
by experimental designtechnology. In addition, the
identification procedure for general fuzzymeasures was proposed
by applying genetic algorithms. Third, the individualbehavioral-
based mechanism was established to assess the dynamic weightsand
grades of importance for influential criteria. Furthermore, the
effectsof external information were investigated as well.
Cover
Abstract (in Chinese)
Abstract
Acknowledgments (in Chinese)
Contents
List of Tables
List of Figures
Chapter 1. Introduction
1.1 Motivation and Problem Definition
1.2 Research Objective
1.3 Study Approach
1.4 Overview of Dissertation
1.5 Research Contribution
Chapter 2. Literature Review
2.1 Applications of MCDM on Transportation
2.2 Review of Weight-assessing Methods
2.3 Required Methodology
Chapter 3. Analytical Framework of Importance-assessing
3.1 General Remarks
3.2 Framework of Static Analysis
3.3 Framework of Dynamic Analysis
Chapter 4. Reducing information Demand for Grades of Importance
4.1 Issues of MCDM
4.2 Fuzzy Measures and Fuzzy Integrals
4.3 Modeling of Multiple Criteria Evaluation Process
4.4 Reducing Design of Information Demand
4.5 Implementation Procedures under Partial Information
4.6 Concluding Remarks
Chapter 5. Identification for Static Grades of Importance
5.1 Issues of Identification for General Fuzzy Measures
5.2 Fuzzy Measure Analysis
5.3 Genetic Algorithm
5.4 Procedure Design of Identification for General Fuzzy Measures
5.5 Experiment Analysis
5.6 Summary and Conclusions
Chapter 6. Construction of Connectivity Network
6.1 Issues of Traditional Weighting Models
6.2 Activation Propensity and Connectivity
6.3 Connectivity Network
Chapter 7. Identification for Dynamic Grades of Importance
7.1 Weight-assessing Method with Classical Measures
7.2 Importance-assessing Method with Fuzzy Measures
Chapter 8. Applications of the Static Model
8.1 Public Attitude towards Gas Taxi Policy
8.2 Priority-setting for Flexible Pavement Rehabilitation
Chapter 9. Applications of the Dynamic Model
9.1 Mode Choice Problem for Motorcycle Users
9.2 Route Choice Problem for Commuters
Chapter 10. Conclusions
10.1 Research Summary
10.2 Application and Future Research
Appendix A. Glossary of Symbols
Appendix B. Questionnaire for Studies of Public Attitude towards Gas Taxi Policy
Appendix C. Questionnaire for Studies of Priority-Setting for Flexible Pavement Rehabilitation
Appendis D. Questionnaire for Studies of Mode Choice Problem for Motorcycle Users
Appendix E. Questionnaire for Studies of Route Choice Problem for Commuters
Bibliography
Vita
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