Yu Y.TSAN MING CHOIHui C.-L.Ho T.-K.2022-05-302022-05-302011https://www.scopus.com/inward/record.uri?eid=2-s2.0-79955480852&doi=10.1109%2fTSMCA.2010.2089514&partnerID=40&md5=888b63b6a457ece15cf206f3aec05ca2https://scholars.lib.ntu.edu.tw/handle/123456789/612384Technology-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. ? 2006 IEEE.Artificial neural network (ANN); design scheme; fuzzy logic; multicriteria decision makingArtificial Neural Network; Artificial neural network models; Collaboration process; Data sets; Decision making process; Design professionals; design scheme; Fashion design; Multi criteria decision making; Time cost; Work-flows; Decision making; Design; Fuzzy logic; Fuzzy systems; Neural networksjournal article10.1109/TSMCA.2010.20895142-s2.0-79955480852