International Journal of Computational Intelligence Systems

Volume 1, Issue 3, August 2008, Pages 205 - 214

An Extended KTH-Best Apprach for Referential-Uncooperative Bilevel Multi-Follower Decision Making

Authors
Guangquan Zhang, Chenggen Shi, Jie Lu
Corresponding Author
Guangquan Zhang
Available Online 25 August 2008.
DOI
https://doi.org/10.2991/ijcis.2008.1.3.2How to use a DOI?
Keywords
Bilevel programming, kth-best approach, Decision making, Optimization.
Abstract
Bilevel decision techniques have been mainly developed for solving decentralized management problems with decision makers in a hierarchical organization. When multiple followers are involved in a bilevel decision problem, called a bilevel multi-follower (BLMF) decision problem, the leader’s decision will be affected, not only by the reactions of these followers, but also by the relationships among these followers. The referential-uncooperative situation is one of the popular cases of BLMF decision problems where these multiple followers don’t share decision variables with each other but may take others’ decisions as references to their decisions. This paper presents a model for the referential-uncooperative BLMF decision problem. As the kth-best approach is one of the most successful approaches in dealing with normal bilevel decision problems, this paper then proposes an extended kth-best approach to solve the referential-uncooperative BLMF problem. Finally an example of logistics planning illustrates the application of the proposed extended kth-best approach.
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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
1 - 3
Pages
205 - 214
Publication Date
2008/08
ISBN
1875-6883
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
https://doi.org/10.2991/ijcis.2008.1.3.2How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - JOUR
AU  - Guangquan Zhang
AU  - Chenggen Shi
AU  - Jie Lu
PY  - 2008
DA  - 2008/08
TI  - An Extended KTH-Best Apprach for Referential-Uncooperative Bilevel Multi-Follower Decision Making
JO  - International Journal of Computational Intelligence Systems
SP  - 205
EP  - 214
VL  - 1
IS  - 3
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.2008.1.3.2
DO  - https://doi.org/10.2991/ijcis.2008.1.3.2
ID  - Zhang2008
ER  -