文献类型：会议论文

英文题名：A linguistic representation method for kansei data

作者：Chanyachatchawan, Sapa[1,2];Yan, Hong-Bin[3];Sriboonchitta, Songsak[4];Van-Nam Huynh[1]

机构：[1]Japan Adv Inst Sci & Technol, Nomi, Ishikawa 9231292, Japan;[2]Sirindhorn Int Inst Technol, Pathum Thani 12000, Thailand;[3]East China Univ Sci & Technol, Sch Business, Shanghai, Peoples R China;[4]Chiang Mai Univ, Fac Econ, Ctr Excellence Econometr, Chiang Mai, Thailand

会议论文集：Joint 8th International Conference on Soft Computing and Intelligent Systems (SCIS) / 17th International Symposium on Advanced Intelligent Systems (ISIS)

会议日期：AUG 25-28, 2016

会议地点：Hokkai Gakuen Univ, Sapporo, JAPAN

主办单位：Hokkai Gakuen Univ

语种：英文

外文关键词：Probability distributions - Semantics

摘要：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.