خوشه‌بندی مشتریان بر مبنای مدل RFM با استفاده از الگوریتم C-means فازی (مورد مطالعه: فروشگاه زنجیره ای رفاه شهر زاهدان)

1-Abdi Dehkordi, M., Dehghani, A. A., Meftah, M., Kahe, M., Hesam, M., Dehghani, N. (2014). Use of Fuzzy Clustering Algorithm for Estimating the Daily Suspended Load (Case Study: Kasilain Basin).Journal of Water and Soil Science (JWSS), 18(68), 121-131. (In Persian)

2-Ahmadi-Abkenari, F., Ahadzadeh-Ghannad, S. (2016). Behavioral and Performance Analysis of Telecom Company Customers Based on Customer Relationship Management Approach Using Data Mining Techniques. New Marketing Research Journal, 6(1), 221-236. (In Persian)

3-Ansari, A., & Riasi, A. (2016). Customer clustering using a combination of fuzzy C-means and genetic algorithms. International Journal of Business and Management, 11(7), 59-66.

4-Azadnia, A. H., Saman, M. Z. M., Wong, K. Y., & Hemdi, A. R. (2011). Integration model of Fuzzy C means clustering algorithm and TOPSIS Method for Customer Lifetime Value Assessment. In Industrial Engineering and Engineering Management (IEEM), 2011 IEEE International Conference on (pp. 16-20). IEEE.

5-Ball, D., Simões Coelho, P., & Machás, A. (2004). The role of communication and trust in explaining customer loyalty: An extension to the ECSI model. European journal of marketing, 38(9/10), 1272-1293.

6-Baradaran, V., Biglari, M. (2015). Customer segmentation in Fast Moving Consumer Goods (FMCG) Industries by using developed RFM model. Iranian Business Management, 7(1), 23-42. (In Persian)

7-Benoit, D. F., & Van den Poel, D. (2009). Benefits of quantile regression for the analysis of customer lifetime value in a contractual setting: An application in financial services. Expert Systems with Applications, 36(7), 10475-10484.

8-Boroufar, A., Rezaeian, A., Shokohyar, S. (2017). Identifying the customer behavior model in life insurance Sector using data mining. Journal of Management System, 20(4), 66-94. (In Persian)

9-Bose, I., & Chen, X. (2015). Detecting the migration of mobile service customers using fuzzy clustering. Information & Management, 52(2), 227-238.

10-Buttle, F. (2004), "Customer Relationship Management", Concepts and Tools; Elsevier Butterworth-Heinemann.

11-Chaghari, A., Feizi-Derakhshi, M. (2017). Automatic Clustering Using Improved Imperialist Competitive Algorithm. Journal of Signal and Data Processing (JSDP), 14(2), 159-169. (In Persian)

12-Cheng, C. H., & Chen, Y. S. (2009). Classifying the segmentation of customer value via RFM model and RS theory. Expert systems with applications, 36(3), 4176-4184.

13-De Oliveira, J. V., & Pedrycz, W. (Eds.). (2007). Advances in fuzzy clustering and its applications. John Wiley & Sons.

14-Fathian, M., Azhdari, E. (2017). Extracting Customer Behavior Pattern in a Telecom Company Using Temporal Fuzzy Clustering and Data Mining. Journal of Information Technology Management, 9(3), 549-570. (In Persian)

15-Ghorbanpour, A., Tallai, GH., Panahi, M. (2015). Clustering Customers of Refah Bank Branches Using Combination of Genetic Algorithm and C-Means in Fuzzy Environment. Journal of Management System. 5(3), 153-168. (In Persian)

16-Glady, N., Baesens, B., & Croux, C. (2009). Modeling churn using customer lifetime value. European Journal of Operational Research, 197(1), 402-411.

17-Hamedi, P., Khadivar, A., Razmi, Z. (2013). Customer clustering for appointing rebating strategies, case study: Kadbano Co. New Marketing Research Journal, 3(3), 135-150. (In Persian)

18-Hiziroglu, A., & Senbas, U. D. (2016). An Application of Fuzzy Clustering to Customer Portfolio Analysis in Automotive Industry. International Journal of Fuzzy System Applications (IJFSA), 5(2), 13-25.

19-Hwang, H., Jung, T., & Suh, E. (2004). An LTV model and customer segmentation based on customer value: a case study on the wireless telecommunication industry. Expert systems with applications, 26(2), 181-188.

20-Kafash poor, A., Tavakoli, A., Alizadeh zavarem, A. (2012). Customer Segmentation According to Customer Life Time Value Using Data Mining Based on RFM Model. Public Management Researches, 5(15), 63-84. (In Persian)

21-Khadivar, A., Hamedi, P. (2015). Providing Synthetic Data Mining Model Using Association Rules and Clustering for Determining Discounting Strategy (Case Study: Pegah Distribution Co). Journal of Business Strategies, 2(5):52-39. (In Persian)

22-Khajvand, S., Taghavifard, M., Najafi, E. (2012). Bank Customer Segmentation Using Data Mining. Management Studies in Development and Evolution, 19(67), 179-200. (In Persian)

23-Khoshnazar, SH. (2013). Investigation of Fuzzy Clustering Problem Using Modified Artificial Bee Colony Algorithm. The Dissertation of M.Sc. in Computer Science. The University of Sistan & Baluchestan, Zahedan, Iran. (In Persian)

24-Kimiaee, R., Siahkoohi, H. R., Hajian, A., Kalhor, A. (2017). Anisotropic Diffusion Filter Modified by Adaptive Neuro-Fuzzy Interference System (ANFIS) and its Application to Random Noise Attenuation in Seismic Data. Journal of Research on Applied Geophysics (JRAG), Article in Press. (In Persian)

25-Kotler, P. (1994). Marketing management, analysis, planning, implementation, and control, Philip Kotler. London: Prentice-Hall International.

26-Kumar, V. (2006). Customer lifetime value. In Grover, R. & Vriens, M. The handbook of marketing research (pp. 602-627). 

27-Liang, Y. H. (2010). Integration of data mining technologies to analyze customer value for the automotive maintenance industry. Expert systems with Applications, 37(12), 7489-7496.

28-Moeini, A., Behradmehr, N., Ahrari, M., & Khadem, S. S. (2012). Scoring customers in banking services marketing: A case study on two Iranian banks. Iraniial Journal of Trade Studies, 16(64), 1-26. (In Persian)

29-Mohammadi, S., Alizadeh, S. (2014). Analyzing the Problems of Ayandeh Bank Branches across the Country Using Data Mining Technique. Journal of Information Technology Management, 6(2), 333-350. (In Persian)

30-Natarajan, T., Periaiya, S., Balasubramaniam, S. A., & srinivasan, T. (2017). Identification and analysis of employee branding typology using fuzzy C-means clustering. Benchmarking: An International Journal, 24(5), 1253-1268.

31-Ngai, E. W., Xiu, L., & Chau, D. C. (2009). Application of data mining techniques in customer relationship management: A literature review and classification. Expert systems with applications, 36(2), 2592-2602.

32-Plakoyiannaki, E., & Saren, M. (2006). Time and the customer relationship management process: conceptual and methodological insights. Journal of Business & Industrial Marketing, 21(4), 218-230.

33-Pourzamoni, Z., Mashayekhi Fard, S. (2016). Environmental Management Accounting with Integrated Approach for Fuzzy Design in Green Manufacturing by Using Fuzzy Analytic Hierarchy Process. Management Accounting, 8(27), 21-36. (In Persian)

34-S‌h‌a‌b‌a‌n‌z‌a‌d‌e‌h G‌a‌v‌a‌s‌a‌r‌a‌i, M., A‌l‌i‌z‌a‌d‌e‌h, S., F‌a‌r‌z‌a‌n‌e‌g‌a‌n, P. (2016). Provide a M‌odel for A‌nalyzing C‌ustomer B‌ehavior u‌sing D‌ata Mining the A‌nalysis of E‌dible O‌il Industry. Sharif Journal of Industrial Engineering & Management, 32.1(1.2), 81-86. (In Persian)

35-Shokohyar, S., Rezaeian, A., Zolfaghari, S. (2015). Using Data Mining Techniques in Clustering and Identify Patterns of Road Accidents. Research studies Rahvr, 4(14), 47-79. (In Persian)

36-Taghva, M., Hosseini Bamakan, S. (2011). Provide appropriate services to potential customers by data mining techniques in e-banking area. Industrial Management Studies, 9(23), 187-207. (In Persian)

37-Tleis, M., Callieris, R., & Roma, R. (2017). Segmenting the organic food market in Lebanon: an application of k-means cluster analysis. British Food Journal, 119(7), 1423-1441.

38-Villanueva, J., & Hanssens, D. M. (2007). Customer equity: Measurement, management and research opportunities. Foundations and Trends® in Marketing, 1(1), 1-95.

39-Yeh, I. C., Yang, K. J., & Ting, T. M. (2009). Knowledge discovery on RFM model using Bernoulli sequence. Expert Systems with Applications, 36(3), 5866-5871.

40-Zanjireh chi, S.M. (2015). Fuzzy hierarchical analysis. Sanei Shahmirzadi Publisher, Tehran, Iran. (In Persian)