How to cite this paper
Zaheri, F., Farughi, H., Soltanpanah, H., Alaniazar, S & Naseri, F. (2002). Using multiple criteria decision making models for ranking customers of bank network based on loyalty properties in weighted RFM model ,.Management Science Letters , 2(2), 697-704.
Refrences
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Alencar, A., Ribeiro, E., Ferreira, A., Schmitz, E., Lima, P., & Manso, F. (2006). Optimized RFM analysis. Marketing Intelligence & Planning, 24(2), 106–118.
Alfanis, L., & Sergeant, A. (2000). Market segmentation in the Indonesian banking sector: the relationship between demographics and desired customer benefits. International Journal of Bank Marketing, 18(2), 64–74.
Ashridge Group (2006). Customer Relationship Management. USA, Ashridge Group Publishing.
Asgharizadeh, A., & Amin, F. (2006). Increasing productivity of banking services with customers priority using of quantities techniques. Journal of Economic Policy and Research, 36.
Chai, C., & Chan, H. (2008). Intelligent value-based customer segmentation method for campaign management: A case study of automobile retailer. Expert Systems with Applications, 34(4), 2754-2762.
Chalmeta, R. (2006). Methodology for customer relationship management. Journal of Systems and Software, 79(7), 1015-1024.
Chen, Y.L., Kuo, M.H., Wu, S.Y., & Tang, K. (2009). Discovering recency, frequency, and monetary (RFM) sequential patterns from customers’ purchasing data. Electronic Commerce Research and Applications, 8(5), 241-251.
Cheng, C.H., & Chan, Y.S. (2009). Classifying the segmentation of customer value via RFM model and RS theory. Expert Systems with Applications, 36(3), 4176-4184.
Elahi, S., & Heydari, B. (2006). Customer Relationship Management. Tehran: Printing and Publishing of Commercial, Commercial Research.
Hu, Y.C., & Liao, P.C. (2011). Finding critical criteria of evaluating electronic service quality of Internet banking using fuzzy multiple-criteria decision making. Applied Soft Computing, 11(4), 3764-3770.
Kohavi, R., & Parikh, R. (2004). Visualizing RFM Segmentation. SIAM: Society for Industrial and Applied Mathematics.
Liua, D.R., & Shih, Y.Y. (2005). Hybrid approaches to product recommendation based on customer lifetime value and purchase preferences. Journal of Systems and Software, 77(2), 181-191.
Machauer, A., & Moorgner, S. (2001). Segmentation of bank customers by expected benefits and attitudes. International Journal of Bank Marketing, 19(1), 6-17.
Madhooshi, M. (2007). Developing an integrated model for calculating the customer lifetime value. The 4th International Management conference.
Maenpaa, K. (2006). Clustering the consumers on the basis of their perception of the internet banking services. Internet Research, 16 (3), 304 – 322.
McCarty, J., & Hastak, M. (2007). Segmentation approaches in data mining: A comparison of RFM, chaid and logistic regression. Journal of Business Research, 60(6), 656-662.
Roohi.Z, A. (2011). Quality services of responding to customer needs. Mellat Partow Magazine, 50.
Rygielski, C., Wang, J.C., & Yen, D.C. (2002). Data mining techniques for customer relationship management. Technology in Society, 24(4), 483-502.
Seçme, N.Y., Bayrakdaro?lu, A., & Kahraman, C. (2009). Fuzzy performance evaluation in Turkish Banking Sector using Analytic Hierarchy Process and TOPSIS. Expert Systems with Applications, 36(9), 11699-11709.
Wu, H.Y., Tzeng, G.H., & Chen, Y.H. (2009). A fuzzy MCDM approach for evaluating banking performance based on Balanced Scorecard. Expert Systems with Applications, 36(6), 10135-10147.
Alencar, A., Ribeiro, E., Ferreira, A., Schmitz, E., Lima, P., & Manso, F. (2006). Optimized RFM analysis. Marketing Intelligence & Planning, 24(2), 106–118.
Alfanis, L., & Sergeant, A. (2000). Market segmentation in the Indonesian banking sector: the relationship between demographics and desired customer benefits. International Journal of Bank Marketing, 18(2), 64–74.
Ashridge Group (2006). Customer Relationship Management. USA, Ashridge Group Publishing.
Asgharizadeh, A., & Amin, F. (2006). Increasing productivity of banking services with customers priority using of quantities techniques. Journal of Economic Policy and Research, 36.
Chai, C., & Chan, H. (2008). Intelligent value-based customer segmentation method for campaign management: A case study of automobile retailer. Expert Systems with Applications, 34(4), 2754-2762.
Chalmeta, R. (2006). Methodology for customer relationship management. Journal of Systems and Software, 79(7), 1015-1024.
Chen, Y.L., Kuo, M.H., Wu, S.Y., & Tang, K. (2009). Discovering recency, frequency, and monetary (RFM) sequential patterns from customers’ purchasing data. Electronic Commerce Research and Applications, 8(5), 241-251.
Cheng, C.H., & Chan, Y.S. (2009). Classifying the segmentation of customer value via RFM model and RS theory. Expert Systems with Applications, 36(3), 4176-4184.
Elahi, S., & Heydari, B. (2006). Customer Relationship Management. Tehran: Printing and Publishing of Commercial, Commercial Research.
Hu, Y.C., & Liao, P.C. (2011). Finding critical criteria of evaluating electronic service quality of Internet banking using fuzzy multiple-criteria decision making. Applied Soft Computing, 11(4), 3764-3770.
Kohavi, R., & Parikh, R. (2004). Visualizing RFM Segmentation. SIAM: Society for Industrial and Applied Mathematics.
Liua, D.R., & Shih, Y.Y. (2005). Hybrid approaches to product recommendation based on customer lifetime value and purchase preferences. Journal of Systems and Software, 77(2), 181-191.
Machauer, A., & Moorgner, S. (2001). Segmentation of bank customers by expected benefits and attitudes. International Journal of Bank Marketing, 19(1), 6-17.
Madhooshi, M. (2007). Developing an integrated model for calculating the customer lifetime value. The 4th International Management conference.
Maenpaa, K. (2006). Clustering the consumers on the basis of their perception of the internet banking services. Internet Research, 16 (3), 304 – 322.
McCarty, J., & Hastak, M. (2007). Segmentation approaches in data mining: A comparison of RFM, chaid and logistic regression. Journal of Business Research, 60(6), 656-662.
Roohi.Z, A. (2011). Quality services of responding to customer needs. Mellat Partow Magazine, 50.
Rygielski, C., Wang, J.C., & Yen, D.C. (2002). Data mining techniques for customer relationship management. Technology in Society, 24(4), 483-502.
Seçme, N.Y., Bayrakdaro?lu, A., & Kahraman, C. (2009). Fuzzy performance evaluation in Turkish Banking Sector using Analytic Hierarchy Process and TOPSIS. Expert Systems with Applications, 36(9), 11699-11709.
Wu, H.Y., Tzeng, G.H., & Chen, Y.H. (2009). A fuzzy MCDM approach for evaluating banking performance based on Balanced Scorecard. Expert Systems with Applications, 36(6), 10135-10147.