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Article: Fuzzy ratings in mechanical engineering design - Application to bearing selection

TitleFuzzy ratings in mechanical engineering design - Application to bearing selection
Authors
KeywordsBearing Selection
Computer Aided Design
Fuzzy Systems
Mechanical Engineering Design
Issue Date1996
PublisherProfessional Engineering Publishing Ltd. The Journal's web site is located at http://journals.pepublishing.com/link.asp?id=119784
Citation
Proceedings Of The Institution Of Mechanical Engineers, Part B: Journal Of Engineering Manufacture, 1996, v. 210 n. 1, p. 49-53 How to Cite?
AbstractIn the preliminary stage of engineering design, descriptions of design elements are often imprecise. In this paper, imprecision is represented using fuzzy numbers. Calculation based on fuzzy weighted average is performed to produce the ratings among design alternatives. Alternatives then proceed to the more detailed design stage in the fuzzy rating order. This method provides a tool for design automation at a higher abstract level. This is demonstrated in the bearing selection case study where imprecise linguistic description of a design problem in a manner similar to human language can be accommodated. © IMechE 1996.
Persistent Identifierhttp://hdl.handle.net/10722/156435
ISSN
2015 Impact Factor: 0.978
2015 SCImago Journal Rankings: 0.541
References

 

DC FieldValueLanguage
dc.contributor.authorChen, YHen_US
dc.date.accessioned2012-08-08T08:42:25Z-
dc.date.available2012-08-08T08:42:25Z-
dc.date.issued1996en_US
dc.identifier.citationProceedings Of The Institution Of Mechanical Engineers, Part B: Journal Of Engineering Manufacture, 1996, v. 210 n. 1, p. 49-53en_US
dc.identifier.issn0954-4054en_US
dc.identifier.urihttp://hdl.handle.net/10722/156435-
dc.description.abstractIn the preliminary stage of engineering design, descriptions of design elements are often imprecise. In this paper, imprecision is represented using fuzzy numbers. Calculation based on fuzzy weighted average is performed to produce the ratings among design alternatives. Alternatives then proceed to the more detailed design stage in the fuzzy rating order. This method provides a tool for design automation at a higher abstract level. This is demonstrated in the bearing selection case study where imprecise linguistic description of a design problem in a manner similar to human language can be accommodated. © IMechE 1996.en_US
dc.languageengen_US
dc.publisherProfessional Engineering Publishing Ltd. The Journal's web site is located at http://journals.pepublishing.com/link.asp?id=119784en_US
dc.relation.ispartofProceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufactureen_US
dc.subjectBearing Selectionen_US
dc.subjectComputer Aided Designen_US
dc.subjectFuzzy Systemsen_US
dc.subjectMechanical Engineering Designen_US
dc.titleFuzzy ratings in mechanical engineering design - Application to bearing selectionen_US
dc.typeArticleen_US
dc.identifier.emailChen, YH:yhchen@hkucc.hku.hken_US
dc.identifier.authorityChen, YH=rp00099en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.scopuseid_2-s2.0-0029776284en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0029776284&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume210en_US
dc.identifier.issue1en_US
dc.identifier.spage49en_US
dc.identifier.epage53en_US
dc.publisher.placeUnited Kingdomen_US
dc.identifier.scopusauthoridChen, YH=7601430448en_US

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