Asna Ashari, H. (2014). Customer clustering based on RFM model and data mining approach to increase customer loyalty, Master thesis, Tehran Teacher Training University (In Persian).
Emani,A & Abasi, M. (2017). Clustering of Customers Based on RFM Model Using Fuzzy C-Measure Algorithm (Case Study: Zahedan Welfare Chain Store), Journal of Public Management Research, 37, 251-276 (In Persian).
Firuzi F. (2014). Customer Capital Management by Analyzing Customers' Behavior in Acquisition, Maintenance and Development, Master Thesis, Khaje Nasir Al-Din Tusi University of Technology (In Persian).
Hajihasan, H. & Tajzade,A. (2015). Investigating the effect of transaction convenience and social interaction on customer experience, 5th National Conference and 3rd International Accounting and Management Conference, 9-1 (In Persian).
Kafashpur A.,Tavakoli, A. & Alizadezavarem, A. (2012). Customer segmentation based on their lifetime value using data mining using RAF model, Journal of Public Management Research, Vol. 5, No. 15, 63-84 (In Persian).
Ker- Chang Chang, H., Lin, H. & Patankar, N. (2017). effective CRM enhancement strategies for indlan retail market, International Journal of Research – granthaalayah, 12- 23.
Maleki, A. & Darabi, M. (2016). Different methods for measuring customer satisfaction, automotive engineering and related industries, 3 (1), 27-32 (In Persian).
Molani Aghdam, H. (2013). Determining the value of customer life cycle and customer ranking based on RAFF model, Master's Thesis, Babol Islamic Azad University (In Persian).
Noori, B. (2015). An analysis of mobile banking customers for a bank Strategy and policy planning. International Journal of Management and Applied Science, 1(9).
Noorizadeh, A, Rashidi,K & Peltokorpi,A (2017).Categorizing suppliers for development investments in construction: application of DEA and RFM concept, Construction Management and Economics.
Ozer, M. (2015). Fuzzy c-means clustering and internet portals: a case study, European Journal of Operational Research, 164, 696-714.
Safari, F., Safari, N. & Gholam, A. (2016).Customer lifetime value determination based on RFM model, Marketing Intelligence & Planning, 34 Iss 4, 446 – 461.
Songa,Y, M., Luo,Y & Hua,Z (2018).On the extent analysis method for fuzzy AHP and its applications, European Journal of Operational Research, 186, 735-747.
Vali, M. (2016). Investigating the Effect of Internet Banking Services on Satisfaction Increasing in the Bank of Commerce Management of Southwestern Branches of Tehran, Master's Thesis, Tehran Islamic Azad University (In Persian).
Wang,T, C & Chen,Y, H. (2018).Applying fuzzy linguistic preference relations to the improvement of consistency of fuzzy AHP. Information Sciences, 178, 3755-3765.
Ya-Han Hu, H & Tzu,Wei Yeh (2014). Discovering valuable frequent patterns based on RFM analysis without customer identification information, Journal of Business Research , 67(1), 2751–2758.
Zeynolabedini, S, F. (2012). Segmentation and identification of e-banking services customers based on data mining techniques and RFM model (case study of financial and credit institution of development), Master thesis, Lahijan Islamic Azad University (In Persian).