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

被引：1
|
作者：
Li, Xiaofei [1 ]
机构：
[1] Beijing Informat & Sci Technol Univ, 12 Qinghe Xiaoying East Rd, Beijing, Peoples R China
来源：
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS | 2017年 / 33卷 / 05期
关键词：
Trapezoidal fuzzy number; similarity measures; KANO model;
D O I：
10.3233/JIFS-169336
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：2869 / 2876
页数：8
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