Technology-mediated collaboration process has beenudextensively studied for over a decade. Most applications with collaborationudconcepts reported in the literature focus on enhancingudefficiency and effectiveness of the decision-making processes inudobjective and well-structured workflows. However, relatively fewudprevious studies have investigated the applications of collaborationudschemes to problems with subjective and unstructured nature.udIn this paper, we explore a new intelligent collaboration schemeudfor fashion design which, by nature, relies heavily on humanudjudgment and creativity. Techniques such as multicriteria decisionudmaking, fuzzy logic, and artificial neural network (ANN) modelsudare employed. Industrial data sets are used for the analysis. Ourudexperimental results suggest that the proposed scheme exhibitsudsignificant improvement over the traditional method in terms ofudthe time–cost effectiveness, and a company interview with designudprofessionals has confirmed its effectiveness and significance.
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