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Article: FuzzySTAR: Fuzzy set theory of axiomatic design review

TitleFuzzySTAR: Fuzzy set theory of axiomatic design review
Authors
KeywordsAxiomatic Design
Design Review
Fuzzy Sets
Product Development
Issue Date2002
PublisherCambridge University Press. The Journal's web site is located at http://uk.cambridge.org/journals/aie/
Citation
Artificial Intelligence For Engineering Design, Analysis And Manufacturing: Aiedam, 2002, v. 16 n. 4, p. 291-302 How to Cite?
AbstractProduct development involves multiple phases. Design review (DR) is an essential activity formally conducted to ensure a smooth transition from one phase to another. Such a formal DR is usually a multicriteria decision problem, involving multiple disciplines. This paper proposes a systematic framework for DR using fuzzy set theory. This fuzzy approach to DR is considered particularly relevant for several reasons. First, information available at early design phases is often incomplete and imprecise. Second, the relationships between the product design parameters and the review criteria cannot usually be exactly expressed by mathematical functions due to the enormous complexity. Third, DR is frequently carried out using subjective expert judgments with some degree of uncertainty. The DR is defined as the reverse mapping between the design parameter domain and design requirement (review criterion) domain, as compared with Suh's theory of axiomatic design. Fuzzy sets are extensively introduced in the definitions of the domains and the mapping process to deal with imprecision, uncertainty, and incompleteness. A simple case study is used to demonstrate the resulting fuzzy set theory of axiomatic DR.
Persistent Identifierhttp://hdl.handle.net/10722/44873
ISSN
2015 Impact Factor: 0.877
2015 SCImago Journal Rankings: 0.438
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorHuang, GQen_HK
dc.contributor.authorJiang, Zen_HK
dc.date.accessioned2007-10-30T06:12:12Z-
dc.date.available2007-10-30T06:12:12Z-
dc.date.issued2002en_HK
dc.identifier.citationArtificial Intelligence For Engineering Design, Analysis And Manufacturing: Aiedam, 2002, v. 16 n. 4, p. 291-302en_HK
dc.identifier.issn0890-0604en_HK
dc.identifier.urihttp://hdl.handle.net/10722/44873-
dc.description.abstractProduct development involves multiple phases. Design review (DR) is an essential activity formally conducted to ensure a smooth transition from one phase to another. Such a formal DR is usually a multicriteria decision problem, involving multiple disciplines. This paper proposes a systematic framework for DR using fuzzy set theory. This fuzzy approach to DR is considered particularly relevant for several reasons. First, information available at early design phases is often incomplete and imprecise. Second, the relationships between the product design parameters and the review criteria cannot usually be exactly expressed by mathematical functions due to the enormous complexity. Third, DR is frequently carried out using subjective expert judgments with some degree of uncertainty. The DR is defined as the reverse mapping between the design parameter domain and design requirement (review criterion) domain, as compared with Suh's theory of axiomatic design. Fuzzy sets are extensively introduced in the definitions of the domains and the mapping process to deal with imprecision, uncertainty, and incompleteness. A simple case study is used to demonstrate the resulting fuzzy set theory of axiomatic DR.en_HK
dc.format.extent240052 bytes-
dc.format.extent1804 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherCambridge University Press. The Journal's web site is located at http://uk.cambridge.org/journals/aie/en_HK
dc.relation.ispartofArtificial Intelligence for Engineering Design, Analysis and Manufacturing: AIEDAMen_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rightsArtificial Intelligence for Engineering Design, Analysis and Manufacturing. Copyright © Cambridge University Press.en_HK
dc.subjectAxiomatic Designen_HK
dc.subjectDesign Reviewen_HK
dc.subjectFuzzy Setsen_HK
dc.subjectProduct Developmenten_HK
dc.titleFuzzySTAR: Fuzzy set theory of axiomatic design reviewen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0890-0604&volume=16&issue=4&spage=291&epage=302&date=2002&atitle=FuzzySTAR:+Fuzzy+set+theory+of+axiomatic+design+reviewen_HK
dc.identifier.emailHuang, GQ:gqhuang@hkucc.hku.hken_HK
dc.identifier.authorityHuang, GQ=rp00118en_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1017/S0890060402164031en_HK
dc.identifier.scopuseid_2-s2.0-0036766770en_HK
dc.identifier.hkuros82340-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0036766770&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume16en_HK
dc.identifier.issue4en_HK
dc.identifier.spage291en_HK
dc.identifier.epage302en_HK
dc.identifier.isiWOS:000180027600003-
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridHuang, GQ=7403425048en_HK
dc.identifier.scopusauthoridJiang, Z=35240389200en_HK
dc.identifier.citeulike4463413-

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