Chapter

Fuzzy Applications in Industrial Engineering

Volume 201 of the series Studies in Fuzziness and Soft Computing pp 367-379

Estimation of Ease Allowance of a Garment using Fuzzy Logic

  • Y. ChenAffiliated withEcole Nationale Supérieure des Arts & Industries Textiles
  • , X. zengAffiliated withEcole Nationale Supérieure des Arts & Industries Textiles
  • , M. HappietteAffiliated withEcole Nationale Supérieure des Arts & Industries Textiles
  • , P. BruniauxAffiliated withEcole Nationale Supérieure des Arts & Industries Textiles
  • , R. NgAffiliated withThe Hong Kong Polytechnic University
  • , W. YuAffiliated withThe Hong Kong Polytechnic University

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Abstract

The ease allowance is an important criterion in garment sales. It is often taken into account in the process of construction of garment patterns. However, the existing pattern generation methods can not 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 a fixed standard value of ease allowance. In this chapter, we propose a new method of estimating ease allowance of a garment using fuzzy logic and sensory evaluation. Based on these values of ease allowance, we develop a new method of automatic pattern generation, permitting to improve the wearer’s fitting perception of a garment. The effectiveness of our method has been validated in the design of trousers of jean type. It can also be applied for designing other types of garment.