Alonso, S. K. (2014). Mamdani’s Fuzzy inference method. Dostopno na: http://http://www. dma. fi. upm. es/java/fuzzy/fuzzyinf/main en. htm.
Amindoust, A., Ahmed, S., Saghafinia, A., & Bahreininejad, A. (2012). Sustainable supplier selection: A ranking model based on fuzzy inference system. Applied soft computing, 12(6), 1668-1677.
Avikal, S., Jain, R., & Mishra, P. K. (2014). A Kano model, AHP and M-TOPSIS method-based technique for disassembly line balancing under fuzzy environment. Applied Soft Computing, 25, 519-529.
Chen, L.-S., Liu, C.-H., Hsu, C.-C., & Lin, C.-S. (2010). C-Kano model: a novel approach for discovering attractive quality elements. Total Quality Management, 21(11), 1189–1214.
Chen, M.-C., Hsu, C.-L., & Huang, C.-H. (2021). Applying the Kano model to investigate the quality of transportation services at mega events. Journal of Retailing and Consumer Services, 60, 102442.
Clegg, B., Wang, T., & Ji, P. (2010). Understanding customer needs through quantitative analysis of Kano’s model. International Journal of Quality & Reliability Management.
Griffin, A., & Hauser, J. R. (1993). The voice of the customer. Marketing Science, 12(1), 1–27.
Guimaraes, A. C. F., & Lapa, C. M. F. (2004). Effects analysis fuzzy inference system in nuclear problems using approximate reasoning. Annals of Nuclear Energy, 31(1), 107–115.
He, L., Ming, X., Li, M., Zheng, M., & Xu, Z. (2017). Understanding customer requirements through quantitative analysis of an improved fuzzy Kano’s model. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 231(4), 699–712.
Herzberg, F., Mausner, B., & Snyderman, B. B. (1959). The motivation to work. New York: JohnWiley & Sons.
Horton, G., & Goers, J. (2019). A revised Kano model and its application in product feature discovery. ResearchGate.
Ilbahar, E., & Çebi, S. (2017). Classification of design parameters for E-commerce websites: A novel fuzzy Kano approach. Telematics and Informatics, 34(8), 1814-1825.
Jain, N., & Singh, A. R. (2020a). Sustainable supplier selection criteria classification for Indian iron and steel industry: a fuzzy modified Kano model approach. International Journal of Sustainable Engineering, 13(1), 17–32.
Jain, N., & Singh, A. R. (2020b). Sustainable supplier selection under must-be criteria through Fuzzy inference system. Journal of Cleaner Production, 248, 119275.
Kano, N. (1984). Attractive quality and must-be quality. Hinshitsu (Quality, The Journal of Japanese Society for Quality Control), 14, 39-48.
Kano, Noriaki. (1984). Attractive quality and must-be quality. Hinshitsu (Quality, The Journal of Japanese Society for Quality Control), 14, 39–48.
Kuo, Y.-F., Chen, J.-Y., & Deng, W.-J. (2012). IPA–Kano model: A new tool for categorising and diagnosing service quality attributes. Total Quality Management & Business Excellence, 23(7–8), 731–748.
Lee, Y.-C., & Huang, S.-Y. (2009). A new fuzzy concept approach for Kano’s model. Expert Systems with Applications, 36(3), 4479–4484.
Mamdani, E. H., & Assilian, S. (1975). An experiment in linguistic synthesis with a fuzzy logic controller. International Journal of Man-Machine Studies, 7(1), 1–13.
Meng, Q., & Dong, J. (2018). Future direction and visual analysis of Kano model: a literature review. Journal of Service Science and Management, 11(04), 399.
Meng, Q., Jiang, X., He, L., & Guo, X. (2015). Integrating fuzzy theory into Kano model for classification of service quality elements: a case study of machinery industry in China. Journal of Industrial Engineering and Management (JIEM), 8(5), 1661–1675.
Olugu, E. U., & Wong, K. Y. (2012). An expert fuzzy rule-based system for closed-loop supply chain performance assessment in the automotive industry. Expert Systems with Applications, 39(1), 375–384.
Pai, F.-Y., Yeh, T.-M., & Tang, C.-Y. (2018). Classifying restaurant service quality attributes by using Kano model and IPA approach. Total Quality Management & Business Excellence, 29(3–4), 301–328.
Pedrycz, W., & Gomide, F. (2007). Fuzzy systems engineering: toward human-centric computing. John Wiley & Sons.
Pourjavad, E., & Mayorga, R. V. (2019). A comparative study and measuring performance of manufacturing systems with Mamdani fuzzy inference system. Journal of Intelligent Manufacturing, 30(3), 1085–1097.
Shahin, A., Javadi, M. H. M., & Shahrestani, H. V. (2014). Integrating Kansei engineering and revised Kano model with a case study in the automobile industry. International Journal of Productivity and Quality Management, 13(2), 201–218.
Shahin, A., Pourhamidi, M., Antony, J., & Park, S. H. (2013). Typology of Kano models: a critical review of literature and proposition of a revised model. International Journal of Quality & Reliability Management.
Shi, Y., & Peng, Q. (2021). Enhanced customer requirement classification for product design using big data and improved Kano model. Advanced Engineering Informatics, 49, 101340.
Tseng, C. C. (2020). An IPA-Kano model for classifying and diagnosing airport service attributes. Research in Transportation Business & Management, 37, 100499.
Ucal Sari, I., & Sevinc, F. (2021). Customer Need Analysis for Trim Levels of Automobiles Using Fuzzy Kano Model. International Conference on Intelligent and Fuzzy Systems, 614–621.
Wang, C.-H., & Wang, J. (2014). Combining fuzzy AHP and fuzzy Kano to optimize product varieties for smart cameras: A zero-one integer programming perspective. Applied Soft Computing, 22, 410–416.
Yang, C.-C. (2005). The refined Kano’s model and its application. Total Quality Management & Business Excellence, 16(10), 1127–1137.
Zadeh, L. A. (1996). Fuzzy sets. In Fuzzy sets, fuzzy logic, and fuzzy systems: selected papers by Lotfi A Zadeh (pp. 394–432). World Scientific.
Zhang, P., & von Dran, G. (2001). Expectations and rankings of Web site quality features: Results of two studies on user perceptions. Proceedings of the 34th Annual Hawaii International Conference on System Sciences, 10-pp.
Zhao, M., Zhang, C., Hu, Y., Xu, Z., & Liu, H. (2021). Modelling consumer satisfaction based on online reviews using the improved Kano model from the perspective of risk attitude and aspiration. Technological and Economic Development of Economy, 27(3), 550–582.