KANO quality attribute classification method based on trapezoidal fuzzy number similarity measures

Issue title: Applied Mathematics Related to Nonlinear Problems

Guest editors: Juan L.G. Guirao and Wei Gao

Article type: Research Article

Authors: Li, Xiaofei^{; *}

Affiliations: Beijing Information and Science Technology University, Haidian District, Beijing, China

Correspondence: [*] Corresponding author. Xiaofei Li, Beijing Information and Science Technology University, No.12, Qinghe Xiaoying East Rd, Haidian District, Beijing, China. E-mail: [email protected].

Abstract: Existing fuzzy KANO model has the defect that respondents should judge tendency on satisfaction degree at all levels. A KANO quality attribute classification method based on trapezoidal fuzzy number similarity measures is established, which is applied in practice of quality attribute classification of mobile classrooms. Fuzzy questionnaire is not adopted for investigation in the method. Fuzzy treatment is implemented on questionnaire data in the calculation process only. The questionnaire filling difficulty is reduced greatly, thereby it is more operational.

Keywords: Trapezoidal fuzzy number, similarity measures, KANO model

DOI: 10.3233/JIFS-169336

Journal: Journal of Intelligent & Fuzzy Systems, vol. 33, no. 5, pp. 2869-2876, 2017