Volume 8, Issue 29 (5-2018)                   فصلنامه فناوری اطلاعات 2018, 8(29): 41-54 | Back to browse issues page

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A method for clustering customers using RFM model and grey numbers in terms of uncertainty. فصلنامه فناوری اطلاعات. 2018; 8 (29) :41-54
URL: http://iranaict.ir/journal/article-1-335-en.html
Abstract:   (1309 Views)

The purpose of this study is presentation a method for clustering bank customers based on RFM model in terms of uncertainty. According to the proposed framework in this study after determination the parameter values of the RFM model, including recently exchange (R), frequency exchange (F), and monetary value of the exchange (M), grey theory is used to eliminate the uncertainty and customers are segmented using a different approach. Thus, bank customers are clustered to three main segments called good, ordinary and bad customers. After cluster validation using Dunn index and Davis Bouldin index, properties of customers are detected in any of the segments. Finally, recommendations are offered to improve customer relationship management system.

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Type of Study: Research | Subject: Information and Knowledge Technology
Received: 2013/11/25 | Accepted: 2016/07/3 | Published: 2018/05/24

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