How to cite this paper
Hendalianpour, A & Razmi, J. (2017). Customer satisfaction measurement using fuzzy neural network.Decision Science Letters , 6(2), 193-206.
Refrences
Albayrak, T., & Caber, M. (2016). Destination attribute effects on rock climbing tourist satisfaction: an Asymmetric Impact-Performance Analysis. Tourism Geographies, 18(3), 280-296.
Aleem, S., Capretz, L. F., & Ahmed, F. (2016). Empirical investigation of key business factors for digital game performance. Entertainment Computing, 13, 25-36.
Austen, V., Herbst, U., & Bertels, V. (2012). When 3+ 3 does not equal 5+ 1— New insights into the measurement of industrial customer satisfaction. Industrial Marketing Management, 41(6), 973-983.
Bayraktar, E., Tatoglu, E., Turkyilmaz, A., Delen, D., & Zaim, S. (2012). Measuring the efficiency of customer satisfaction and loyalty for mobile phone brands with DEA. Expert Systems with Applications, 39(1), 99-106.
Choi, K. S., Cho, W. H., Lee, S., Lee, H., & Kim, C. (2004). The relationships among quality, value, satisfaction and behavioral intention in health care provider choice: A South Korean study. Journal of Business Research, 57(8), 913–921.
Chou, J. S., Kim, C., Kuo, Y. C., & Ou, N. C. (2011). Deploying effective service strategy in the operations stage of high-speed rail. Transportation Research Part E: Logistics and Transportation Review, 47(4), 507-519.
Grigoroudis, E., & Siskos, Y. (2002). Preference disaggregation for measuring and analysing customer satisfaction: The MUSA method. European Journal of Operational Research, 143(1), 148-170.
Han, S. H., Yun, M. H., Kim, K. J., & Kwahk, J. (2000). Evaluation of product usability: development and validation of usability dimensions and design elements based on empirical models. International Journal of Industrial Ergonomics, 26(4), 477-488.
He, F., Shen, W. X., Song, Q., Kapoor, A., Honnery, D., & Dayawansa, D. (2015). Self-organising map based classification of LiFePO4 cells for battery pack in EVs. International Journal of Vehicle Design, 69(1-4), 151-167.
Höppner, F. (1999). Fuzzy cluster analysis: methods for classification, data analysis and image recognition. John Wiley & Sons.
Hussain, R., Al Nasser, A., & Hussain, Y. K. (2015). Service quality and customer satisfaction of a UAE-based airline: An empirical investigation. Journal of Air Transport Management, 42, 167-175.
Ishibuchi, H., Fujioka, R., & Tanaka, H. (1992, March). An architecture of neural networks for input vectors of fuzzy numbers. In Fuzzy Systems, 1992. IEEE International Conference on (pp. 1293-1300). IEEE.
Ishibuchi, H., Kwon, K., & Tanaka, H. (1995). A learning algorithm of fuzzy neural networks with triangular fuzzy weights. Fuzzy sets and systems, 71(3), 277-293.
Itagaki, A., Takashima, M., Ashino, Y., Nishio, C., & Nakanishi, S. (1994, November). Fuzzy inference systems by genetic algorithm and factor analysis modeling for multivariate complex systems. In Emerging Technologies and Factory Automation, 1994. ETFA’94. IEEE Symposium on (pp. 199-205). IEEE.
Kuo, R. J., Huang, M. H., Cheng, W. C., Lin, C. C., & Wu, Y. H. (2015). Application of a two-stage fuzzy neural network to a prostate cancer prognosis system. Artificial intelligence in medicine, 63(2), 119-133.
Li, L. (2011). Assessing the relational benefits of logistics services perceived by manufacturers in supply chain. International Journal of Production Economics, 132(1), 58-67.
Li, Z., Kecman, V., & Ichikawa, A. (2002). Fuzzified neural network based on fuzzy number operations. Fuzzy sets and systems, 130(3), 291-304.
Lin, W. B. (2007). An empirical of service quality model from the viewpoint of management. Expert systems with applications, 32(2), 364-375.
Nagamachi, M. (Ed.). (2016). Kansei/affective engineering. CRC Press.
Pan, Y., Sheng, S., & Xie, F. T. (2012). Antecedents of customer loyalty: An empirical synthesis and reexamination. Journal of Retailing and Consumer Services, 19(1), 150-158.
Park, J., & Han, S. H. (2004). A fuzzy rule-based approach to modeling affective user satisfaction towards office chair design. International Journal of Industrial Ergonomics, 34(1), 31-47.
Saeidi, S. P., Sofian, S., Saeidi, P., Saeidi, S. P., & Saaeidi, S. A. (2015). How does corporate social responsibility contribute to firm financial performance? The mediating role of competitive advantage, reputation, and customer satisfaction. Journal of Business Research, 68(2), 341-350.
Zadeh, L. A. (2011). A note on Z-numbers. Information Sciences, 181(14), 2923-2932.
Zarandi, M. H. F., Turksen, I. B., & Maadani, B. (2004, June). Customer satisfaction assessment with fuzzy queries and ANFIS for an automotive industry. In Fuzzy Information, 2004. Processing NAFIPS'04. IEEE Annual Meeting of the (Vol. 2, pp. 723-728). IEEE.
Zeinalizadeh, N., Shojaie, A. A., & Shariatmadari, M. (2015). Modeling and analysis of bank customer satisfaction using neural networks approach. International Journal of Bank Marketing, 33(6), 717-732.
Zimmermann, H. J. (1996). Fuzzy Control. In Fuzzy Set Theory—and Its Applications (pp. 203-240). Springer Netherlands.
Aleem, S., Capretz, L. F., & Ahmed, F. (2016). Empirical investigation of key business factors for digital game performance. Entertainment Computing, 13, 25-36.
Austen, V., Herbst, U., & Bertels, V. (2012). When 3+ 3 does not equal 5+ 1— New insights into the measurement of industrial customer satisfaction. Industrial Marketing Management, 41(6), 973-983.
Bayraktar, E., Tatoglu, E., Turkyilmaz, A., Delen, D., & Zaim, S. (2012). Measuring the efficiency of customer satisfaction and loyalty for mobile phone brands with DEA. Expert Systems with Applications, 39(1), 99-106.
Choi, K. S., Cho, W. H., Lee, S., Lee, H., & Kim, C. (2004). The relationships among quality, value, satisfaction and behavioral intention in health care provider choice: A South Korean study. Journal of Business Research, 57(8), 913–921.
Chou, J. S., Kim, C., Kuo, Y. C., & Ou, N. C. (2011). Deploying effective service strategy in the operations stage of high-speed rail. Transportation Research Part E: Logistics and Transportation Review, 47(4), 507-519.
Grigoroudis, E., & Siskos, Y. (2002). Preference disaggregation for measuring and analysing customer satisfaction: The MUSA method. European Journal of Operational Research, 143(1), 148-170.
Han, S. H., Yun, M. H., Kim, K. J., & Kwahk, J. (2000). Evaluation of product usability: development and validation of usability dimensions and design elements based on empirical models. International Journal of Industrial Ergonomics, 26(4), 477-488.
He, F., Shen, W. X., Song, Q., Kapoor, A., Honnery, D., & Dayawansa, D. (2015). Self-organising map based classification of LiFePO4 cells for battery pack in EVs. International Journal of Vehicle Design, 69(1-4), 151-167.
Höppner, F. (1999). Fuzzy cluster analysis: methods for classification, data analysis and image recognition. John Wiley & Sons.
Hussain, R., Al Nasser, A., & Hussain, Y. K. (2015). Service quality and customer satisfaction of a UAE-based airline: An empirical investigation. Journal of Air Transport Management, 42, 167-175.
Ishibuchi, H., Fujioka, R., & Tanaka, H. (1992, March). An architecture of neural networks for input vectors of fuzzy numbers. In Fuzzy Systems, 1992. IEEE International Conference on (pp. 1293-1300). IEEE.
Ishibuchi, H., Kwon, K., & Tanaka, H. (1995). A learning algorithm of fuzzy neural networks with triangular fuzzy weights. Fuzzy sets and systems, 71(3), 277-293.
Itagaki, A., Takashima, M., Ashino, Y., Nishio, C., & Nakanishi, S. (1994, November). Fuzzy inference systems by genetic algorithm and factor analysis modeling for multivariate complex systems. In Emerging Technologies and Factory Automation, 1994. ETFA’94. IEEE Symposium on (pp. 199-205). IEEE.
Kuo, R. J., Huang, M. H., Cheng, W. C., Lin, C. C., & Wu, Y. H. (2015). Application of a two-stage fuzzy neural network to a prostate cancer prognosis system. Artificial intelligence in medicine, 63(2), 119-133.
Li, L. (2011). Assessing the relational benefits of logistics services perceived by manufacturers in supply chain. International Journal of Production Economics, 132(1), 58-67.
Li, Z., Kecman, V., & Ichikawa, A. (2002). Fuzzified neural network based on fuzzy number operations. Fuzzy sets and systems, 130(3), 291-304.
Lin, W. B. (2007). An empirical of service quality model from the viewpoint of management. Expert systems with applications, 32(2), 364-375.
Nagamachi, M. (Ed.). (2016). Kansei/affective engineering. CRC Press.
Pan, Y., Sheng, S., & Xie, F. T. (2012). Antecedents of customer loyalty: An empirical synthesis and reexamination. Journal of Retailing and Consumer Services, 19(1), 150-158.
Park, J., & Han, S. H. (2004). A fuzzy rule-based approach to modeling affective user satisfaction towards office chair design. International Journal of Industrial Ergonomics, 34(1), 31-47.
Saeidi, S. P., Sofian, S., Saeidi, P., Saeidi, S. P., & Saaeidi, S. A. (2015). How does corporate social responsibility contribute to firm financial performance? The mediating role of competitive advantage, reputation, and customer satisfaction. Journal of Business Research, 68(2), 341-350.
Zadeh, L. A. (2011). A note on Z-numbers. Information Sciences, 181(14), 2923-2932.
Zarandi, M. H. F., Turksen, I. B., & Maadani, B. (2004, June). Customer satisfaction assessment with fuzzy queries and ANFIS for an automotive industry. In Fuzzy Information, 2004. Processing NAFIPS'04. IEEE Annual Meeting of the (Vol. 2, pp. 723-728). IEEE.
Zeinalizadeh, N., Shojaie, A. A., & Shariatmadari, M. (2015). Modeling and analysis of bank customer satisfaction using neural networks approach. International Journal of Bank Marketing, 33(6), 717-732.
Zimmermann, H. J. (1996). Fuzzy Control. In Fuzzy Set Theory—and Its Applications (pp. 203-240). Springer Netherlands.