Overview
This book tackles the intricacies of decision-making processes where alternatives stem from distinct, finite sets. Discover the cutting-edge in decision-making with our groundbreaking book on complex two-sided matching methods. Harnessing the power of probabilistic linguistic term sets, it introduces innovative methods that enhance matching efficiency and practicality. It addresses the pressing question of how to navigate and optimize in scenarios with multifaceted matching challenges, offering an exploration into the psychological perceptions of agents through consistency checks and pairwise comparisons. It delves into the unknowns of static matching with multiple attribute weights, extends its scope to multi-sided agent sets in complex matching, and introduces dynamic screening mechanisms to refine the matching process. This book is not just a theoretical exploration. It lays the groundwork for intelligent matching algorithms and group mechanisms, providing actionable insights for technical supply and demand allocation, emergency personnel dispatch, and multi-stage medical management scheme selection. The effectiveness of these methods is backed by comparative analyses and simulation experiments, proving their superiority in real-world applications. Embrace the future of decision-making with our book, a must-read for those seeking to master complex matching scenarios and unlock practical solutions.
Full Product Details
Author: Bo Li ,
Zeshui Xu
Publisher: Springer International Publishing AG
Imprint: Springer International Publishing AG
Volume: 436
ISBN: 9783031885617
ISBN 10: 3031885619
Pages: 111
Publication Date: 01 May 2025
Audience:
Professional and scholarly
,
College/higher education
,
Professional & Vocational
,
Postgraduate, Research & Scholarly
Format: Hardback
Publisher's Status: Active
Availability: Manufactured on demand
We will order this item for you from a manufactured on demand supplier.
Author Information
Li Bo received the Ph.D. degree in management science and engineering from Sichuan University, Chengdu, China, in 2021. Her research directions include probabilistic preference theory, uncertainty decision-making theory and method, and two-sided matching. Her studies are published in Expert Systems with Applications, Journal of the Operational Research Society, and Applied Soft Computing, etc. Zeshui Xu received the Ph.D. degree in management science and engineering from Southeast University, Nanjing, China, in 2003. He is Member of AE, EASA, IASCYS, Distinguished Fellow of IETI; Fellow of IEEE, IFSA, IET, BCS, RSA, ORS, IAAM, VEBLEO, AAIA, Distinguished Young Scholar of NSFC, and the Chang Jiang Scholar of the Ministry of Education of China. He ranked 169h among World's Top 100,000 Scientists in 2021 and has been selected as Highly Cited Researchers in both Computer Science and Engineering from 2014-2021. His papers have been cited over 75000 times with the H-index 140. Prof. Xu is Associate Editor of IEEE Transactions on Fuzzy Systems, Information Sciences, Fuzzy Optimization and Decision Making, Journal of the Operational Research Society, etc.
