Customer satisfaction measurement using fuzzy neural network

Article history: Received February 25, 2016 Received in revised format: March 28, 2016 Accepted August 28, 2016 Available online August 3

[1]  S. Nakanishi,et al.  Fuzzy inference systems by genetic algorithm and factor analysis modeling for multivariate complex systems , 1994, ETFA '94. 1994 IEEE Symposium on Emerging Technologies and Factory Automation. (SEIKEN) Symposium) -Novel Disciplines for the Next Century- Proceedings.

[2]  Wen-Bao Lin,et al.  An empirical of service quality model from the viewpoint of management , 2007, Expert Syst. Appl..

[3]  Rahim Hussain,et al.  Service quality and customer satisfaction of a UAE-based airline: An empirical investigation , 2015 .

[4]  Changwan Kim,et al.  Deploying effective service strategy in the operations stage of high-speed rail , 2011 .

[5]  Luiz Fernando Capretz,et al.  Empirical investigation of key business factors for digital game performance , 2015, Entertain. Comput..

[6]  Myung Hwan Yun,et al.  Evaluation of product usability: development and validation of usability dimensions and design elements based on empirical models , 2000 .

[7]  I.B. Turksen,et al.  Customer satisfaction assessment with fuzzy queries and ANFIS for an automotive industry , 2004, IEEE Annual Meeting of the Fuzzy Information, 2004. Processing NAFIPS '04..

[8]  Qiang Song,et al.  Self-organising map based classification of LiFePO4 cells for battery pack in EVs , 2015 .

[9]  Hideo Tanaka,et al.  An architecture of neural networks for input vectors of fuzzy numbers , 1992, [1992 Proceedings] IEEE International Conference on Fuzzy Systems.

[10]  Woo-Hyun Cho,et al.  The relationships among quality, value, satisfaction and behavioral intention in health care provider choice: A South Korean study , 2004 .

[11]  Tahir Albayrak,et al.  Destination attribute effects on rock climbing tourist satisfaction: an Asymmetric Impact-Performance Analysis , 2016 .

[12]  Stephen Yurkovich,et al.  Fuzzy Control , 1997 .

[13]  Lotfi A. Zadeh,et al.  A Note on Z-numbers , 2011, Inf. Sci..

[14]  Viola Austen,et al.  When 3 + 3 does not equal 5 + 1—New insights into the measurement of industrial customer satisfaction , 2012 .

[15]  Ling Li,et al.  Assessing the relational benefits of logistics services perceived by manufacturers in supply chain , 2011 .

[16]  Mitsuo Nagamachi,et al.  Kansei/Affective Engineering , 2010 .

[17]  Wei-Che Cheng,et al.  Application of a two-stage fuzzy neural network to a prostate cancer prognosis system , 2015, Artif. Intell. Medicine.

[18]  Selim Zaim,et al.  Measuring the efficiency of customer satisfaction and loyalty for mobile phone brands with DEA , 2012, Expert Syst. Appl..

[19]  Amir Abbas Shojaie,et al.  Modeling and analysis of bank customer satisfaction using neural networks approach , 2015 .

[20]  Akira Ichikawa,et al.  Fuzzified neural network based on fuzzy number operations , 2002, Fuzzy Sets Syst..

[21]  Sayedeh Parastoo Saeidi,et al.  How does corporate social responsibility contribute to firm financial performance? The mediating role of competitive advantage, reputation, and customer satisfaction , 2015 .

[22]  H. Ishibuchi,et al.  A learning algorithm of fuzzy neural networks with triangular fuzzy weights , 1995 .

[23]  V. J. Rayward-Smith,et al.  Fuzzy Cluster Analysis: Methods for Classification, Data Analysis and Image Recognition , 1999 .

[24]  Evangelos Grigoroudis,et al.  Preference disaggregation for measuring and analysing customer satisfaction: The MUSA method , 2002, Eur. J. Oper. Res..

[25]  Frank Tian Xie,et al.  Antecedents of Customer Loyalty: An Empirical Synthesis and Reexamination , 2012 .

[26]  Rudolf Kruse,et al.  Fuzzy Control , 2015, Handbook of Computational Intelligence.

[27]  Sung H. Han,et al.  A fuzzy rule-based approach to modeling affective user satisfaction towards office chair design , 2004 .