A Linguistic Representation Method for Kansei Data

• Main Authors: Sapa Chanyachatchawan, Hong Bin Yan, Songsak Sriboonchitta, Van Nam Huynh
• Format: Conference Proceeding
• Published: 2018
• Subjects: Computer Science; Mathematics
• Online Access: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85010416853&origin=inward; http://cmuir.cmu.ac.th/jspui/handle/6653943832/55488
• Institution: Chiang Mai University

© 2016 IEEE. This paper proposes a linguistic representation method of kansei data for evaluation of traditional products. Basically, the proposed approach is based on the linguistic interpretation of kansei data and the probabilistic semantics of fuzzy sets. We first interpret a semantic differential scale used in kansei experiment as a linguistic variable and then discuss how the kansei value of products can be represented as a probability distribution on the set of kansei linguistic labels of the linguistic variable. We have also extended this kansei data modelling approach to the cases where the kansei value is imprecisely given as an interval or a fuzzy number. An example for modelling kansei data of Kutani cups is used to illustrate the proposed method.