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
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;
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
DOI :
10.1109/CAIDCD.2009.5375001