@inproceedings{d574f1f557eb437d8e128c3b7956c390,
title = "Model and algorithm for multi-follower tri-level hierarchical decision-making",
abstract = "Tri-level decision-making addresses compromises among interacting decision entities that are distributed throughout a three-level hierarchy. Decision entities at the three hierarchical levels are respectively termed as the toplevel leader, the middle-level follower and the bottom-level follower. When multiple followers are involved at the middle and bottom levels, the leader{\textquoteright}s decision will be affected not only by reactions of the followers but also by various relationships among them. To support such a multi-follower tri-level (MFTL) decision-making process, this study first proposes a general MFTL decision model for the situation involving both cooperative and uncooperative relationships among multiple followers. It then develops a MFTL Kth-Best algorithm to find an optimal solution to the model. Lastly, we use the proposed MFTL decision techniques to deal with a supply chain management problem in applications.",
keywords = "Hierarchical decision-making, Kth-Best algorithm, Multilevel programming, Supply chain, Tri-level decision-making",
author = "Jialin Han and Guangquan Zhang and Jie Lu and Yaoguang Hu and Shuyuan Ma",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2014.; 21st International Conference on Neural Information Processing, ICONIP 2014 ; Conference date: 03-11-2014 Through 06-11-2014",
year = "2014",
doi = "10.1007/978-3-319-12643-2_49",
language = "English",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "398--406",
editor = "Loo, {Chu Kiong} and Yap, {Keem Siah} and Wong, {Kok Wai} and Andrew Teoh and Kaizhu Huang",
booktitle = "Neural Information Processing - 21st International Conference, ICONIP 2014, Proceedings",
address = "Germany",
}
