A fuzzy decision support system for garment new product development

Lu, J; Zhu, Y; Zeng, X; Koehl, L; Ma, J; Zhang, G

A fuzzy decision support system for garment new product development

Lu, J

Zhu, Y Zeng, X Koehl, L Ma, J Zhang, G

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Publication Type:: Conference Proceeding
Citation:: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2008, 5360 LNAI pp. 532 - 543
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	Zhu, Y	en_US
dc.contributor.author	Zeng, X	en_US
dc.contributor.author	Koehl, L	en_US
dc.contributor.author	Ma, J	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	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2008, 5360 LNAI pp. 532 - 543	en_US
dc.identifier.isbn	3540893776	en_US
dc.identifier.isbn	9783540893776	en_US
dc.identifier.issn	0302-9743	en_US
dc.identifier.uri	http://hdl.handle.net/10453/10740
dc.description.abstract	Garment new product development (NPD) evaluation requires considering multiple criteria under a hierarchical structure. The evaluation process often involves uncertainty and fuzziness in both the relationships between criteria and the judgments of evaluators. This study first presents a garment NPD evaluation model under a well-being concept. It then proposes a fuzzy multi-criteria group decision-making (FMCGDM) method to evaluate garment NPD. The advantages of the FMCGDM method include handling criteria in a hierarchical structure, dealing with three kinds of uncertainties simultaneously, and using suitable types of fuzzy numbers to describe linguistic terms. A fuzzy multi-criteria group decision support system (FMCGDSS) is developed to implement the proposed method. Finally a garment NPD evaluation case study demonstrates the proposed method and software system. © 2008 Springer Berlin Heidelberg.	en_US
dc.relation.ispartof	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	en_US
dc.relation.isbasedon	10.1007/978-3-540-89378-3_54	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	A fuzzy decision support system for garment new product development	en_US
dc.type	Conference Proceeding
utslib.citation.volume	5360 LNAI	en_US
utslib.for	080108 Neural, Evolutionary and Fuzzy Computation	en_US
utslib.for	080105 Expert Systems	en_US
dc.location.activity	New Zealand	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
pubs.volume	5360 LNAI	en_US

Abstract:

Garment new product development (NPD) evaluation requires considering multiple criteria under a hierarchical structure. The evaluation process often involves uncertainty and fuzziness in both the relationships between criteria and the judgments of evaluators. This study first presents a garment NPD evaluation model under a well-being concept. It then proposes a fuzzy multi-criteria group decision-making (FMCGDM) method to evaluate garment NPD. The advantages of the FMCGDM method include handling criteria in a hierarchical structure, dealing with three kinds of uncertainties simultaneously, and using suitable types of fuzzy numbers to describe linguistic terms. A fuzzy multi-criteria group decision support system (FMCGDSS) is developed to implement the proposed method. Finally a garment NPD evaluation case study demonstrates the proposed method and software system. © 2008 Springer Berlin Heidelberg.

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http://hdl.handle.net/10453/10740