Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/8756
Title: A new and efficient intelligent collaboration scheme for fashion design
Authors: Yu, Y
Choi, TM 
Hui, CL 
Ho, TK
Keywords: Artificial neural network (ANN)
design scheme
fuzzy logic
multicriteria decision making
Issue Date: 2011
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on systems, man, and cybernetics. Part A, Systems and humans, 2011, v. 41, no. 3, 5659914, p. 463-475 How to cite?
Journal: IEEE transactions on systems, man, and cybernetics. Part A, Systems and humans 
Abstract: Technology-mediated collaboration process has been extensively studied for over a decade. Most applications with collaboration concepts reported in the literature focus on enhancing efficiency and effectiveness of the decision-making processes in objective and well-structured workflows. However, relatively few previous studies have investigated the applications of collaboration schemes to problems with subjective and unstructured nature. In this paper, we explore a new intelligent collaboration scheme for fashion design which, by nature, relies heavily on human judgment and creativity. Techniques such as multicriteria decision making, fuzzy logic, and artificial neural network (ANN) models are employed. Industrial data sets are used for the analysis. Our experimental results suggest that the proposed scheme exhibits significant improvement over the traditional method in terms of the timecost effectiveness, and a company interview with design professionals has confirmed its effectiveness and significance.
URI: http://hdl.handle.net/10397/8756
ISSN: 1083-4427
EISSN: 1083-4419
DOI: 10.1109/TSMCA.2010.2089514
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