Advances in Best-Worst Method: Proceedings of the Fifth International Workshop on Best-Worst Method (Bwm2024) (最佳與最差方法的進展：第五屆國際最佳與最差方法研討會論文集 (Bwm2024))

本論文集收錄了第五屆國際最佳-最差方法研討會（BWM2024）中選定的論文，該研討會於2024年6月13日至14日在荷蘭代爾夫特舉行。書中展示了最佳-最差方法的理論與應用的最新進展，並提供了在健康、能源、供應鏈管理和工程等多樣化應用中使用BWM的原因和方法的寶貴見解。該書強調了BWM在不同情境下的應用，包括單一決策與群體決策、完整資訊與不完整及不確定情況。參與多準則決策和決策分析的學術界和實務界人士將能從本論文集中發表的論文中獲益。

Jafar Rezaei is Associate Professor at the Department of Engineering Systems and Services, Faculty of Technology, Policy, and Management, Delft University of Technology, the Netherlands. He completed his Ph.D. at the same university. He has a background in operations research and has published in several peer-reviewed journals. He is Editor-in-Chief of Journal of Mult-Criteria Decision Analysis and serves as Editorial Board Member for several scientific journals. In 2015, he developed the Best-Worst Method (BWM). His main research interests are in multi-criteria decision-making and its applications in different fields.

Matteo Brunelli is Associate Professor of Mathematical Methods at the Department of Industrial Engineering, University of Trento, Italy. He received his Bachelor's and Master's degrees from the University of Trento, Italy, and his Ph.D. from Åbo Akademi University, Finland. He spent five years as Postdoctoral Researcher at Aalto University, Finland. His research interests include decision analysis, preference modelling, mathematical representations of uncertainty, and fuzzy sets.

Majid Mohammadi is Postdoctoral Researcher at Vrije Universiteit Amsterdam (VU), the Netherlands. Prior to joining VU, he pursued postdoctoral research at Eindhoven University of Technology and completed his Ph.D. at Delft University of Technology, earning a cum laude, the highest distinction in the Dutch academic system. His research interests are in methodological contributions to various domains such as multi-criteria decision-making, machine and deep learning, Bayesian statistics, and statistical learning theory.

Jafar Rezaei是荷蘭代爾夫特科技大學工程系統與服務系的副教授。他在同一所大學完成了博士學位，擁有運籌學的背景，並在多個同行評審的期刊上發表過文章。他是《多準則決策分析期刊》的主編，並擔任多個科學期刊的編輯委員會成員。2015年，他開發了最佳-最差法（Best-Worst Method, BWM）。他的主要研究興趣在於多準則決策及其在不同領域的應用。

Matteo Brunelli是義大利特倫托大學工業工程系的數學方法副教授。他在義大利特倫托大學獲得學士和碩士學位，並在芬蘭阿博亞卡德米大學獲得博士學位。他在芬蘭阿爾托大學擔任了五年的博士後研究員。他的研究興趣包括決策分析、偏好建模、不確定性的數學表徵以及模糊集合。

Majid Mohammadi是荷蘭阿姆斯特丹自由大學（Vrije Universiteit Amsterdam, VU）的博士後研究員。在加入VU之前，他在埃因霍溫科技大學進行博士後研究，並在代爾夫特科技大學完成了博士學位，獲得了cum laude，這是荷蘭學術體系中的最高榮譽。他的研究興趣包括對多準則決策、機器學習和深度學習、貝葉斯統計以及統計學習理論等各個領域的方法論貢獻。