Jyh-Rong Chou
Department of Creative Product Design, I-Shou University, Kaohsiung City, Taiwan
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Published in: KEER2014. Proceedings of the 5th Kanesi Engineering and Emotion Research; International Conference; Linköping; Sweden; June 11-13
Linköping Electronic Conference Proceedings 100:26, p. 339-349
Published: 2014-06-11
ISBN: 978-91-7519-276-5
ISSN: 1650-3686 (print), 1650-3740 (online)
Kansei engineering has been developed as an effective methodology to deal with customers’ feeling and demands and further translate them into the design elements of a product. It is very important to determine and substantiate the measure of Kansei preferences before its utilization and performance. Kansei evaluation plays a vital role in the implementation of Kansei engineering; however; it is difficult to quantitatively evaluate customers’ preferences on Kansei attributes of products as such preferences involve the human perceptual interpretation with certain subjectivity; uncertainty; and imprecision. This study presents a fuzzy linguistic preference approach for Kansei evaluation. The proposed approach is based on fuzzy linguistic variables associated with the fuzzy weighted average techniques for aggregating Kansei preference information. A case study was conducted to illustrate the implementation of the proposed approach.
Kansei Evaluation; Fuzzy Linguistic Variables; Kansei Preferences; Aggregation; Fuzzy Weighted Average
