Rule sets based bilevel decision model

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dc.contributor.author Zheng, Z
dc.contributor.author Zhang, G
dc.contributor.author He, Q
dc.contributor.author Lu, J
dc.contributor.author Shi, Z
dc.date.accessioned 2009-11-09T02:45:31Z
dc.date.issued 2006
dc.identifier.citation Conferences in Research and Practice in Information Technology Series, 2006, 48 pp. 113 - 120
dc.identifier.isbn 1920682309
dc.identifier.isbn 9781920682309
dc.identifier.issn 1445-1336
dc.identifier.other E1 en_US
dc.identifier.uri http://hdl.handle.net/10453/1850
dc.description.abstract Bilevel decision addresses the problem in which two levels of decision makers, each tries to optimize their individual objectives under constraints, act and react in an uncooperative, sequential manner. Such a bilevel optimization structure appears naturally in many aspects of planning, management and policy making. However, bilevel decision making may involve many uncertain factors in a real world problem. Therefore it is hard to determine the objective functions and constraints of the leader and the follower when build a bilevel decision model. To deal with this issue, this study explores the use of rule sets to format a bilevel decision problem by establishing a rule sets based model. After develop a method to construct a rule sets based bilevel model of a real-world problem, an example to illustrate the construction process is presented. Copyright © 2006, Australian Computer Society, Inc.
dc.title Rule sets based bilevel decision model
dc.type Conference Proceeding
dc.parent Conferences in Research and Practice in Information Technology Series
dc.journal.volume 48
dc.journal.number en_US
dc.publocation Hobart, Australia en_US
dc.publocation Sydney, Australia
dc.identifier.startpage 113 en_US
dc.identifier.endpage 120 en_US
dc.cauo.name FEIT.School of Software en_US
dc.conference Verified OK en_US
dc.conference BEST Education Network Think Tank VI
dc.conference Australasian Computer Science Conference
dc.conference.location Hobart, Australia en_US
dc.for 080704 Information Retrieval and Web Search
dc.for 080605 Decision Support and Group Support Systems
dc.personcode 001038
dc.personcode 020014
dc.percentage 40 en_US
dc.classification.name Information Retrieval and Web Search en_US
dc.classification.type FOR-08 en_US
dc.custom Australasian Computer Science Conference en_US
dc.date.activity 20060116 en_US
dc.date.activity 2006-06-13
dc.date.activity 2006-01-16
dc.location.activity Hobart, Australia en_US
dc.location.activity Girona, Spain
dc.description.keywords bilevel programming, decision making, decision model, rough set, rule set en_US
dc.description.keywords Bilevel programming
dc.description.keywords Decision making
dc.description.keywords Decision model
dc.description.keywords Rough set
dc.description.keywords Rule set
pubs.embargo.period Not known
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/Strength - Quantum Computation and Intelligent Systems
utslib.copyright.status Closed Access
utslib.copyright.date 2015-04-15 12:23:47.074767+10
utslib.collection.history General Collection (ID: 346) [2015-05-15T14:12:06+10:00]
utslib.collection.history Uncategorised (ID: 363)
utslib.collection.history General (ID: 2)


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