文献类型：期刊文献

英文题名：Integrating fuzzy Kano model and fuzzy importance-performance analysis to analyse the attractive factors of new products

作者：Xi, Le[1,2];Zhang, Hui[2];Li, Sunan[2];Cheng, Jianxin[1]

机构：[1]East China Univ Sci & Technol, Sch Art Design & Media, M BOX 286,130 Meilong Rd, Shanghai 200237, Peoples R China;[2]Henan Univ Sci & Technol, Sch Art & Design, Luoyang, Peoples R China

年份：2020

卷号：16

期号：5

外文期刊名：INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS

收录：;EI(收录号：20202408809077);WOS:【SSCI(收录号:WOS:000536469300001)，SCI-EXPANDED(收录号:WOS:000536469300001)】；

基金：The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This study was financially supported from the Shanghai Municipal Education Commission-Shanghai Summit Discipline-IV in Design under contract number DC17013.

语种：英文

外文关键词：Attractive factor; evaluation grid method; fuzzy Kano model; fuzzy importance-performance analysis; product development

摘要：The sorting mechanism underlying the traditional evaluation grid method with attractive factors mainly represents the time or the paired comparison method. However, the current approach employed to identify abstract factors of attractiveness may not be comprehensive. The objective of this article is to propose a hybrid method with an integrated fuzzy Kano model and fuzzy importance-performance analysis to evaluate attractive factors. Fuzzy importance-performance analysis is a more accurate quantitative-qualitative method for two-dimensional analysis, and integrated fuzzy Kano model compensates for the low-resolution problem of the traditional Kano model. A combination of both models arrives at a more comprehensive and reliable evaluation grid method evaluation mechanism. The results indicate that the attractive factors sorted through integrated fuzzy Kano model-fuzzy importance-performance analysis have deconstructed abstract factors and feature factors of the customer service robot. Moreover, the key factors of the products sorted by through integrated fuzzy Kano model-fuzzy importance-performance analysis provide a better understanding of customer expectations associated with the products, which consequently enables developers and designers to accurately understand the design style and conceive new ideas.