A new solution algorithm for solving rule-sets based bilevel decision problems

Lu, J; Zheng, Z; Zhang, G; He, Q; Shi, Z

A new solution algorithm for solving rule-sets based bilevel decision problems

Lu, J

Zheng, Z Zhang, G

He, Q Shi, Z

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Publication Type:: Journal Article
Citation:: Concurrency Computation, 2015, 27 (4), pp. 830 - 854
Issue Date:: 2015-01-01

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Field	Value	Language
dc.contributor.author	Lu, J https://orcid.org/0000-0003-0690-4732	en_US
dc.contributor.author	Zheng, Z	en_US
dc.contributor.author	Zhang, G https://orcid.org/0000-0003-3960-0583	en_US
dc.contributor.author	He, Q	en_US
dc.contributor.author	Shi, Z	en_US
dc.date.issued	2015-01-01	en_US
dc.identifier.citation	Concurrency Computation, 2015, 27 (4), pp. 830 - 854	en_US
dc.identifier.issn	1532-0626	en_US
dc.identifier.uri	http://hdl.handle.net/10453/44142
dc.description.abstract	Copyright © 2012 John Wiley & Sons, Ltd. Copyright © 2012 John Wiley & Sons, Ltd. Bilevel decision addresses compromises between two interacting decision entities within a given hierarchical complex system under distributed environments. Bilevel programming typically solves bilevel decision problems. However, formulation of objectives and constraints in mathematical functions is required, which are difficult, and sometimes impossible, in real-world situations because of various uncertainties. Our study develops a rule-set based bilevel decision approach, which models a bilevel decision problem by creating, transforming and reducing related rule sets. This study develops a new rule-sets based solution algorithm to obtain an optimal solution from the bilevel decision problem described by rule sets. A case study and a set of experiments illustrate both functions and the effectiveness of the developed algorithm in solving a bilevel decision problem.	en_US
dc.relation.ispartof	Concurrency Computation	en_US
dc.relation.isbasedon	10.1002/cpe.2833	en_US
dc.subject.classification	Distributed Computing	en_US
dc.title	A new solution algorithm for solving rule-sets based bilevel decision problems	en_US
dc.type	Journal Article
utslib.citation.volume	4	en_US
utslib.citation.volume	27	en_US
utslib.for	0803 Computer Software	en_US
utslib.for	0805 Distributed Computing	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	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	open_access
pubs.issue	4	en_US
pubs.publication-status	Published	en_US
pubs.volume	27	en_US

Abstract:

Copyright © 2012 John Wiley & Sons, Ltd. Copyright © 2012 John Wiley & Sons, Ltd. Bilevel decision addresses compromises between two interacting decision entities within a given hierarchical complex system under distributed environments. Bilevel programming typically solves bilevel decision problems. However, formulation of objectives and constraints in mathematical functions is required, which are difficult, and sometimes impossible, in real-world situations because of various uncertainties. Our study develops a rule-set based bilevel decision approach, which models a bilevel decision problem by creating, transforming and reducing related rule sets. This study develops a new rule-sets based solution algorithm to obtain an optimal solution from the bilevel decision problem described by rule sets. A case study and a set of experiments illustrate both functions and the effectiveness of the developed algorithm in solving a bilevel decision problem.

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http://hdl.handle.net/10453/44142