• DocumentCode
    2995571
  • Title

    Sensory evaluation of men´s suitings based on a fuzzy-genetic model

  • Author

    Xue, Zhebin ; Chen, Yan

  • Author_Institution
    Dept. of Clothing Design & Eng., Soochow Univ., Suzhou, China
  • fYear
    2009
  • fDate
    26-29 Nov. 2009
  • Firstpage
    2123
  • Lastpage
    2128
  • Abstract
    The tactile assessments on a set of men´s suitings were conducted by an expert panel according to the standardized techniques and processes. Based on the obtained sensory data, a hybrid model integrating the use of fuzzy set theory and genetic algorithms was then developed to study the fuzzy relations between various sensory components and the total fabric hand. In this method, fuzzy comprehensive evaluation (FCE) was introduced to model the sensory evaluation, and the genetic algorithm was applied to seek a near-optimal weight distribution amongst the seven evaluation criteria. Finally, by comparison with the heuristic methods and the experimental results, the fuzzy-genetic model proposed in this study was verified to be effective and reliable.
  • Keywords
    clothing industry; ergonomics; fabrics; fuzzy set theory; genetic algorithms; fuzzy comprehensive evaluation; fuzzy set theory; fuzzy-genetic model; genetic algorithms; men suitings; sensory evaluation; tactile assessments; Clothing; Design engineering; Educational institutions; Fabrics; Fuzzy set theory; Fuzzy sets; Genetic algorithms; Principal component analysis; Testing; Textiles; fabric hand; fuzzy sets; genetic algorithm; sensory evaluation; suiting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Aided Industrial Design & Conceptual Design, 2009. CAID & CD 2009. IEEE 10th International Conference on
  • Conference_Location
    Wenzhou
  • Print_ISBN
    978-1-4244-5266-8
  • Electronic_ISBN
    978-1-4244-5268-2
  • Type

    conf

  • DOI
    10.1109/CAIDCD.2009.5375001
  • Filename
    5375001