A new and efficient intelligent collaboration scheme for fashion design

Yong Yu, Tsan Ming Choi, Chi Leung Hui, Tin Kin Ho

Research output: Journal article publicationJournal articleAcademic researchpeer-review

13 Citations (Scopus)

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.
Original languageEnglish
Article number5659914
Pages (from-to)463-475
Number of pages13
JournalIEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans
Volume41
Issue number3
DOIs
Publication statusPublished - 1 May 2011

Keywords

  • Artificial neural network (ANN)
  • design scheme
  • fuzzy logic
  • multicriteria decision making

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Human-Computer Interaction
  • Computer Science Applications
  • Electrical and Electronic Engineering

Cite this