Fuzzy multi-criteria group decision support in long-term options of Belgian energy policy

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dc.contributor.author Ruan, D
dc.contributor.author Lu, J
dc.contributor.author Laes, E
dc.contributor.author Zhang, G
dc.contributor.author Wu, F
dc.contributor.author Hardeman, F
dc.date.accessioned 2009-11-09T05:35:44Z
dc.date.issued 2007
dc.identifier.citation Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS, 2007, pp. 496 - 501
dc.identifier.isbn 1424412145
dc.identifier.isbn 9781424412143
dc.identifier.other E1 en_US
dc.identifier.uri http://hdl.handle.net/10453/2454
dc.description.abstract Decision making requires multiple perspectives of different people as one single decision maker may have not enough knowledge to well solve a problem alone. This is particularly true when the decision environment becomes more complex. More organizational decisions are made now in groups than ever before. Group decision making is thus a process of arriving at a judgment or a solution for a decision problem based on the input and feedback of multiple individuals. At the same time in practice, multi-criteria problems at tactical and strategic levels often involve fuzziness in their criteria and decision makers' judgments. Relevant alternatives are evaluated according to a number of criteria. Fuzzy logic based multi-criteria group decision support is justified to analysis long-term options for Belgian energy policy in this paper. ©2007 IEEE.
dc.relation.isbasedon 10.1109/NAFIPS.2007.383890
dc.title Fuzzy multi-criteria group decision support in long-term options of Belgian energy policy
dc.type Conference Proceeding
dc.parent Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS
dc.journal.number en_US
dc.publocation San Diego, California, USA en_US
dc.identifier.startpage 496 en_US
dc.identifier.endpage 501 en_US
dc.cauo.name FEIT.School of Software en_US
dc.conference Verified OK en_US
dc.conference North American Fuzzy Information Processing Society Conference
dc.conference.location San Diego, CA en_US
dc.for 0801 Artificial Intelligence and Image Processing
dc.personcode 001038
dc.personcode 020014
dc.personcode 994932
dc.personcode 100450
dc.percentage 100 en_US
dc.classification.name Artificial Intelligence and Image Processing en_US
dc.classification.type FOR-08 en_US
dc.custom North American Fuzzy Information Processing Society Conference en_US
dc.date.activity 20070624 en_US
dc.date.activity 2007-06-24
dc.location.activity San Diego, CA en_US
dc.description.keywords decision making, fuzzy logic, government policies group decision support systems organisational aspects en_US
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 12:17:09.805752+10
utslib.collection.history Closed (ID: 3)


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