文献类型：期刊文献

英文题名：On uncertainties of Kansei in Kansei Engineering: A fuzzy linguistic approach

作者：Yan, Hong-Bin[1]; Ma, Tieju[1]

机构：[1] School of Business, East China University of Science and Technology, Meilong Road 130, Shanghai 200237, China

年份：2012

卷号：544

起止页码：130

外文期刊名：Advanced Materials Research

收录：EI(收录号：20124415617211)

语种：英文

外文关键词：Semantics - Manufacture - Product design

摘要：Kansei Engineering (KE) has been developed as a methodology to deal with consumers' subjective impressions and images of a product into the design elements of a product. One central step amongst KE is to generate the Kansei profiles of the products. Kansei is a quite subjective, ambiguous, and uncertain concept, which is frequently represented in linguistic forms. Toward this end, this paper tries to cope thoroughly with the uncertainties of Kansei in KE. A probabilistic approach is proposed to generate Kansei profiles involving the "individual" uncertainty, "group" uncertainty, and the partial semantic overlapping of Kansei. Our approach results with a probability distribution on a set of linguistic Kansei labels. ? (2012) Trans Tech Publications, Switzerland.