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

Ruan, D; Lu, J; Laes, E; Zhang, G; Wu, F; Hardeman, F

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

Ruan, D Lu, J

Laes, E Zhang, G

Wu, F Hardeman, F

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Publication Type:: Conference Proceeding
Citation:: Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS, 2007, pp. 496 - 501
Issue Date:: 2007-10-12

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Field	Value	Language
dc.contributor.author	Ruan, D	en_US
dc.contributor.author	Lu, J https://orcid.org/0000-0003-0690-4732	en_US
dc.contributor.author	Laes, E	en_US
dc.contributor.author	Zhang, G https://orcid.org/0000-0003-3960-0583	en_US
dc.contributor.author	Wu, F	en_US
dc.contributor.author	Hardeman, F	en_US
dc.date.issued	2007-10-12	en_US
dc.identifier.citation	Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS, 2007, pp. 496 - 501	en_US
dc.identifier.isbn	1424412145	en_US
dc.identifier.isbn	9781424412143	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.	en_US
dc.relation	http://purl.org/au-research/grants/arc/DP0211701
dc.relation	http://purl.org/au-research/grants/arc/DP0559213
dc.relation.ispartof	Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS	en_US
dc.relation.isbasedon	10.1109/NAFIPS.2007.383890	en_US
dc.title	Fuzzy multi-criteria group decision support in long-term options of Belgian energy policy	en_US
dc.type	Conference Proceeding
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
dc.location.activity	San Diego, CA	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.publication-status	Published	en_US

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.

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http://hdl.handle.net/10453/2454