Lee, Paul Tae-Woo
Multi-Criteria Decision Making in Maritime Studies and Logistics
1. Introduction
Paul Tae-Woo Lee, Zaili Yang
2. A Discourse of Multi-criteria Decision Making (MCDM) Approaches
Zhuohua Qu, Chengpeng Wan, Zaili Yang, Paul Tae-Woo Lee
3. Analytic Hierarchy Process (AHP) in Maritime Logistics: Theory, Application and Fuzzy Set Integration
Emrah Bulut, Okan Duru
4. Identification of Success Factors for Green Shipping with Measurement of Greenness Based on ANP and ISM
Jingzheng Ren, Marie Lützen, Hanna Barbara Rasmussen
5. Use of Fuzzy Evidential Reasoning for Vessel Selection Under Uncertainty
Zaili Yang, Lefteris Maistralis, Stephen Bonsall, Jin Wang
6. Probabilistic Assessment of Vessel Collision Risk: An Evidential Reasoning and Artificial Potential Field-Based Method
Feng Ma, Yu-Wang Chen
7. Incorporating AHP and Evidential Reasoning for Quantitative Evaluation of Inland Port Performance
Chengpeng Wan, Di Zhang, Hang Fang
8. Robust Evaluation of Risks in Ship-to-Ship Transfer Operations: Application of the STOCHASTIC UTA Multicriteria Decision Support Method
Dimitrios I. Stavrou, Eleftherios Y. Siskos, Nikolaos P. Ventikos, John E. Psarras
9. Financial Performance Evaluation of Shipping Companies Using Entropy and Grey Relation Analysis
Paul Tae-Woo Lee, Cheng-Wei Lin, Sung-Ho Shin
10. The Use of the Hybrid Fuzzy-Delphi-TOPSIS Approach in Identifying Optimal Bunkering Ports for Shipping Lines
Ying Wang, Gi-Tae Yeo, Adolf K. Y. Ng
11. Modern Heuristics of MCDM for the Operation Optimization in Container Terminals
Zhihong Jin, Na Li, Qi Xu, Zhan Bian
12. Modelling Interdependency Among Attributes in MCDM: Its Application in Port Performance Measurement
Min-Ho Ha, Zaili Yang
Keywords: Business and Management, Operations Research/Decision Theory, Operations Management, Transportation Technology and Traffic Engineering
- Editor
- Lee, Paul Tae-Woo
- Yang, Zaili
- Publisher
- Springer
- Publication year
- 2018
- Language
- en
- Edition
- 1
- Series
- International Series in Operations Research & Management Science
- Page amount
- 19 pages
- Category
- Economy
- Format
- Ebook
- eISBN (PDF)
- 9783319623382
- Printed ISBN
- 978-3-319-62336-8