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.
BergerC., KANO’s methods for understanding customer-defined quality, Center for Quality Management Journal2(4) (1993), 3–36.
2.
BoC., JiayinQ., SkirtH.Y. and HuayingS., Improvement of evaluation method of quality factor evaluation in KANO model, Journal of Beijing University of Posts and Telecommunications (Social Science Edition2(9) (2007), 51–54.
3.
LongshengC., Cheng-HsiangL., HsuC.-C., et al., C-KANO model: A novel approach for discovering attractive quality elements, Total Quality Manage-ment & Ausiness Excellence21(10) (2010), 1189–1214.
4.
Li-MingD. and HuanH., QFD and KANO model integration method and application, Journal of Chongqing University5(31) (2008), 515–519.
5.
JianF. and DandanS., Complex network theory and its application research on P2P networks, Applied Mathematics and Nonlinear Sciences1(1) (2016), 44–50.
6.
GengX.L., ChuX.N., XueD.Y., et al., A systematic decision-making approach for the optimal product-service system planning, Expert Systems with Applications9(38) (2011), 11849–11858.
7.
ParkJ., SungH.H. and HyunK.K., Modeling user experience: A case study on a mobile device, International Journal of Industrial Ergonomics43 (2013), 187–196.
8.
JiP., JinJ. and WangT., et al. Quantification and intergration of KANO model into QFD for optimizing product design, International Journal of Production Research21(52) (2014), 6335–6348.
9.
KanoN., et al., Attractive quality and must-be quality, The Journal of Japanese Society for Quality Control2 (1984), 39–48.
10.
JieL. and PengZ., Research on I-KANO Model for Customer Satisfaction Improvement Decision, Statistics and Decision20 (2009), 152–153.
11.
AkhmetM. and OnurF.M., Homoclinic and heteroclinic motions in economic models with exogenous shocks, Applied Mathematics and Nonlinear Sciences1(1) (2016), 1–10.
12.
MatzlerK. and HinterhuberH.H., How to make product development projects more successful by integrating KANO’s model of customer satisfaction into quality function deployment, Technovation1(18) (1998), 25–38.
13.
QingliangM., LinH., HuimingZ., et al., Dynamic prediction method of KANO quality factor classification based on GM_1_1 model, Chinese Journal of Management9 (2015), 139–145.
14.
Qing-liangM. and LinH., Based on fuzzy Quality attribute classification method of KANO model and its application, Industrial Engineering3(16) (2013), 121–125.
15.
Qing-liangM., NongjiZ., Xiao-pingL. and Xiu-jun, Logistic service quality promotion decision method based on analytical KANO model, Operations Research and Management2 (2012), 64–73.
16.
WenM., YuqiQ. and LinH., Customer service demand classification based on fuzzy KANO model, Technology and Economy33 (2014), 54–58.
17.
RaharjoH., AarnoutC., ArombacheraC., et al., On integrating KANO’s model dynamics into QFD for multipleproduct design, Quality and Reliability Engineering International4(26) (2010), 351–363.
18.
TontiniG., Integrating the KANO model and QFD for designing new products, Total Quality Management6(18) (2007), 599–612.
19.
WeiS.H. and ChenS.M., A new approach for fuzzy risk analysis based on similarity, Expert Systems with Applications36 (2009), 589–598.
20.
XuQ., JiaoR.J., YangX., et al., An analytical KANO Model for Customer Needs analysis, Design Studies30(1) (2009), 87–110.
21.
YangK.C.C., Exploring factors affecting the adoption of mobile commerce in Singapore, Telematics and Informatics3(22) (2005), 257–277.
