A fuzzy multi-objective decision support system for nonwoven products experiment design

Lu, J; Deng, X; Zeng, X; Vroman, P; Wu, F; Zhang, G

A fuzzy multi-objective decision support system for nonwoven products experiment design

Lu, J

Deng, X Zeng, X Vroman, P Wu, F Zhang, G

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Publication Type:: Conference Proceeding
Citation:: World Scientific Proceedings Series on Computer Engineering and Information Science 1; Computational Intelligence in Decision and Control - Proceedings of the 8th International FLINS Conference, 2008, pp. 787 - 792
Issue Date:: 2008-12-01

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Field	Value	Language
dc.contributor.author	Lu, J https://orcid.org/0000-0003-0690-4732	en_US
dc.contributor.author	Deng, X	en_US
dc.contributor.author	Zeng, X	en_US
dc.contributor.author	Vroman, P	en_US
dc.contributor.author	Wu, F	en_US
dc.contributor.author	Zhang, G https://orcid.org/0000-0003-3960-0583	en_US
dc.date.issued	2008-12-01	en_US
dc.identifier.citation	World Scientific Proceedings Series on Computer Engineering and Information Science 1; Computational Intelligence in Decision and Control - Proceedings of the 8th International FLINS Conference, 2008, pp. 787 - 792	en_US
dc.identifier.isbn	981279946X	en_US
dc.identifier.isbn	9789812799463	en_US
dc.identifier.uri	http://hdl.handle.net/10453/10934
dc.description.abstract	Experiment design often involves multiple objectives and uncertain data in its optimizing process. Fuzzy multi-objective linear programming (FMOLP) is an appropriate method to handle this problem. For the case of modeling nonwoven-based resilient product experiment design, we first obtain the parameter values of objectives functions from a set of experiments. As these parameter values are in the form of distributions, we transfer them into membership functions and then formulate a FMOLP model. We finally develop a fuzzy multi-objective decision support system (FMODSS) to present this model and get a solution of this problem.	en_US
dc.relation.ispartof	World Scientific Proceedings Series on Computer Engineering and Information Science 1; Computational Intelligence in Decision and Control - Proceedings of the 8th International FLINS Conference	en_US
dc.title	A fuzzy multi-objective decision support system for nonwoven products experiment design	en_US
dc.type	Conference Proceeding
utslib.for	080108 Neural, Evolutionary and Fuzzy Computation	en_US
utslib.for	080105 Expert Systems	en_US
dc.location.activity	Madrid, Spain	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:

Experiment design often involves multiple objectives and uncertain data in its optimizing process. Fuzzy multi-objective linear programming (FMOLP) is an appropriate method to handle this problem. For the case of modeling nonwoven-based resilient product experiment design, we first obtain the parameter values of objectives functions from a set of experiments. As these parameter values are in the form of distributions, we transfer them into membership functions and then formulate a FMOLP model. We finally develop a fuzzy multi-objective decision support system (FMODSS) to present this model and get a solution of this problem.

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http://hdl.handle.net/10453/10934