Optimisation of garment design using fuzzy logic and sensory evaluation techniques

Y. Chen, X. Zeng, M. Happiette, P. Bruniaux, R. Ng, W. Yu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

31 Citations (Scopus)

Abstract

The ease allowance is an important criterion in garment design. It is often taken into account in the process of construction of garment patterns. However, the existing pattern generation methods cannot provide a suitable estimation of ease allowance, which is strongly related to wearer's body shapes and movements and used fabrics. They can only produce 2D patterns for fixed standard values of ease allowance. In this paper, we present a new method for optimizing the estimation of ease allowance of a garment using fuzzy logic and sensory evaluation. Based on the optimized values of ease allowance generated from fuzzy models related to different key body positions and different wearer's movements, we obtain an aggregated ease allowance using the OWA operator. This aggregated result can further improve the wearer's fitting perception of a garment and adjust the compromise between the style of garments and the fitting comfort sensation of wearers. The related weights of the OWA operator are determined according to designer's linguistic criteria on comfort and garment style. The effectiveness of our method has been validated in the design of trousers of jean type. It can be also applied for designing other types of garment.
Original languageEnglish
Pages (from-to)272-282
Number of pages11
JournalEngineering Applications of Artificial Intelligence
Volume22
Issue number2
DOIs
Publication statusPublished - 1 Mar 2009

Keywords

  • Data aggregation
  • Ease allowance
  • Fuzzy logic
  • Garment design
  • OWA operator
  • Sensory evaluation

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Artificial Intelligence
  • Electrical and Electronic Engineering

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