Multilevel decision-making: A survey

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• 作者：Jie Lu^a ; ^{Jie.Lu@uts.edu.au" class="auth_mail" title="E-mail the corresponding author} ; Jialin Han^a ; ^b ; ^{Jialin.Han@student.uts.edu.au" class="auth_mail" title="E-mail the corresponding author} ; Yaoguang Hu^b ; ^{hyg@bit.edu.cn" class="auth_mail" title="E-mail the corresponding author} ; Guangquan Zhang^a ; ^{Guangquan.Zhang@uts.edu.au" class="auth_mail" title="E-mail the corresponding author}
• 关键词：Multilevel decision-making ; Bi-level programming ; Fuzzy decision-making
• 刊名：Information Sciences
• 出版年：2016
• 出版时间：10 June 2016
• 年：2016
• 卷：346-347
• 期：Complete
• 页码：463-487
• 全文大小：772 K

文摘

Multilevel decision-making techniques aim to deal with decentralized management problems that feature interactive decision entities distributed throughout a multiple level hierarchy. Significant efforts have been devoted to understanding the fundamental concepts and developing diverse solution algorithms associated with multilevel decision-making by researchers in areas of both mathematics/computer science and business areas. Researchers have emphasized the importance of developing a range of multilevel decision-making techniques to handle a wide variety of management and optimization problems in real-world applications, and have successfully gained experience in this area. It is thus vital that a high quality, instructive review of current trends should be conducted, not only of the theoretical research results but also the practical developments in multilevel decision-making in business. This paper systematically reviews up-to-date multilevel decision-making techniques and clusters related technique developments into four main categories: bi-level decision-making (including multi-objective and multi-follower situations), tri-level decision-making, fuzzy multilevel decision-making, and the applications of these techniques in different domains. By providing state-of-the-art knowledge, this survey will directly support researchers and practical professionals in their understanding of developments in theoretical research results and applications in relation to multilevel decision-making techniques.