International Journal of Computational Intelligence Systems

Volume 9, Issue sup1, April 2016, Pages 25 - 34

Fuzzy Bi-level Decision-Making Techniques: A Survey

Authors
Guangquan Zhanga, Guangquan.Zhang@uts.edu.au, Jialin Hana, b, Jialin.Han@student.uts.edu.au, Jie Lua, Jie.Lu@uts.edu.au
Faculty of Engineering and Information Technology, University of Technology Sydney, NSW 2007, Australia
School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China
Corresponding Author
Guangquan ZhangGuangquan.Zhang@uts.edu.au
Received 4 October 2015, Accepted 12 March 2016, Available Online 9 January 2017.
DOI
https://doi.org/10.1080/18756891.2016.1180816How to use a DOI?
Keywords
Bi-level decision-making, bi-level programming, fuzzy sets, fuzzy systems, decision support systems
Abstract

Bi-level decision-making techniques aim to deal with decentralized management problems that feature interactive decision entities distributed throughout a bi-level hierarchy. A challenge in handling bi-level decision problems is that various uncertainties naturally appear in decision-making process. Significant efforts have been devoted that fuzzy set techniques can be used to effectively deal with uncertain issues in bi-level decision-making, known as fuzzy bi-level decision-making techniques, and researchers have successfully gained experience in this area. It is thus vital that an instructive review of current trends in this area should be conducted, not only of the theoretical research but also the practical developments. This paper systematically reviews up-to-date fuzzy bi-level decision-making techniques, including models, approaches, algorithms and systems. It also clusters related technique developments into four main categories: basic fuzzy bi-level decision-making, fuzzy bi-level decision-making with multiple optima, fuzzy random bi-level decision-making, and the applications of bi-level decision-making techniques in different domains. By providing state-of-the-art knowledge, this survey paper will directly support researchers and practitioners in their understanding of developments in theoretical research results and applications in relation to fuzzy bi-level decision-making techniques.

Copyright
© 2016. the authors. Co-published by Atlantis Press and Taylor & Francis
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
9 - 100
Pages
25 - 34
Publication Date
2017/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
https://doi.org/10.1080/18756891.2016.1180816How to use a DOI?
Copyright
© 2016. the authors. Co-published by Atlantis Press and Taylor & Francis
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Guangquan Zhang
AU  - Jialin Han
AU  - Jie Lu
PY  - 2017
DA  - 2017/01
TI  - Fuzzy Bi-level Decision-Making Techniques: A Survey
JO  - International Journal of Computational Intelligence Systems
SP  - 25
EP  - 34
VL  - 9
IS  - sup1
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2016.1180816
DO  - https://doi.org/10.1080/18756891.2016.1180816
ID  - Zhang2017
ER  -