ISSN 0954-4828, Online ISSN: 1466-1837
Publisher: Taylor and Francis Ltd
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An intelligent fuzzy regression approach for affective product design that captures nonlinearity and fuzziness
Chan, K. Y.; Kwong, C. K.; Dillon, T. S.; Fung, K. Y.
Supporting the selection of robust engineering concepts under suppliers related uncertainties
Avigad, Gideon; Eisenstadt, Erella; Shnits, Boris
Reuse of ideas and concepts for creative stimuli in engineering design
Howard, T. J.; Culley, S.; Dekoninck, E. A.
Understanding and modelling heterogeneity of human preferences for engineering design
Hoyle, Christopher; Chen, Wei; Wang, Nanxin; Gomez-Levi, Gianna
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