Fuzzy Bi-level Decision Making

Zhang, G; Lu, J; Gao, Y

Fuzzy Bi-level Decision Making

Zhang, G

Lu, J

Gao, Y

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Publication Type:: Chapter
Citation:: 2015, 82 pp. 175 - 205
Issue Date:: 2015-01-01

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Field	Value	Language
dc.contributor.author	Zhang, G https://orcid.org/0000-0003-3960-0583	en_US
dc.contributor.author	Lu, J https://orcid.org/0000-0003-0690-4732	en_US
dc.contributor.author	Gao, Y	en_US
dc.date.issued	2015-01-01	en_US
dc.identifier.citation	2015, 82 pp. 175 - 205	en_US
dc.identifier.uri	http://hdl.handle.net/10453/35666
dc.description.abstract	© Springer-Verlag Berlin Heidelberg 2015. Various uncertain issues naturally appear in organizational bi-level decision problems. Fuzzy sets and fuzzy systems can be used to handle uncertainties. This chapter introduces related definitions, theorems and models of fuzzy bi-level decision-making (FBLDM) and develops related algorithms to solve the uncertain issues in bi-level decision-making.	en_US
dc.relation	http://purl.org/au-research/grants/arc/DP0557154
dc.relation.isbasedon	10.1007/978-3-662-46059-7_7	en_US
dc.title	Fuzzy Bi-level Decision Making	en_US
dc.type	Chapter
utslib.citation.volume	82	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	closed_access
pubs.declined	1970-01-01T00:00:00.0+1000
pubs.publication-status	Published	en_US
pubs.volume	82	en_US

Abstract:

© Springer-Verlag Berlin Heidelberg 2015. Various uncertain issues naturally appear in organizational bi-level decision problems. Fuzzy sets and fuzzy systems can be used to handle uncertainties. This chapter introduces related definitions, theorems and models of fuzzy bi-level decision-making (FBLDM) and develops related algorithms to solve the uncertain issues in bi-level decision-making.

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http://hdl.handle.net/10453/35666