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A 2-tuple Fuzzy Linguistic RFM Model and Its Implementation

Procedia Computer Science, 2015
RFM is a model used to analyze the behavior of customer by means of three variables: Recency, Frequency and Monetary. The scores of these variables are expressed by an integer number, typically, in the range 1..5. The fuzzy linguistic approach is a tool intended for modeling qualitative information in a problem.
Ramon Alberto Carrasco, Enrique Herrera-Viedma   +1 more
exaly   +3 more sources

A comparison between Fuzzy Linguistic RFM Model and traditional RFM model applied to Campaign Management. Case study of retail business.

Procedia Computer Science, 2019
TIN2016-75850 ...
Ramon Alberto Carrasco, Enrique Herrera-Viedma, Jesús García-Madariaga   +2 more
exaly   +4 more sources

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Mining Valuable Fuzzy Patterns via the RFM Model

2022 IEEE International Conference on Data Mining Workshops (ICDMW), 2022
Guoting Chen, Fuyin Lai
exaly   +2 more sources

A stochastic RFM model

Journal of Interactive Marketing, 1999
Abstract A central problem in database marketing is how to choose which customers in the firm's database to target with an offer. This paper presents a simple stochastic RFM model to carry out such a task. By making a few straightforward assumptions about the customers in the database, the stochastic model provides a means of (1) ranking customers in
Richard Colombo, Weina Jiang
openaire   +1 more source

RFM approach for telecom insolvency modeling

Kybernetes, 2016
Purpose – The purpose of this paper is to present application of recency, frequency and monetary value (RFM) approach to predict customer insolvency using telecommunication data corresponding to RFM of late payments. The study tackles a serious problem that telecommunication companies often face and shows the ways to ...
openaire   +2 more sources

Data-mining application for country segmentation based on the RFM model

International Journal of Data Analysis Techniques and Strategies, 2008
For effective Customer Relationship Management (CRM), it is important to gather information on customer value. Segmentation is the method of knowing the customers and partitioning a population of customers into smaller groups. This paper develops a novel country segmentation methodology based on Recency (R), Frequency (F) and Monetary value (M ...
Mehdi Ghazanfari, Samira Malek Mohamadi, Somayeh Alizadeh   +2 more
openaire   +2 more sources

E-commerce Customer Segmentation Based on RFM Model

Lecture Notes in Electrical Engineering, 2022
exaly   +2 more sources

Segmentaion of C2C Customer Using RFM Model

2011
Customers segmentation is the key to customer relationship management, this paper analyze RFM (recency, frequency, and monetary value) paradigm with customer, and use RFM value as clustering properties by K-means. The customers can be divided into four levels includes important keep customers, important development customers, general customers ...
Jianying Xiong, Leiyue Yao
openaire   +1 more source

Customer Segmentation Using Fuzzy-AHP and RFM Model

2020 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), 2020
In today’s business environment the number of customers buying products online have increased, it is difficult for the firm to determine customer lifetime value (CLV) of every customer. In this paper, customer segmentation is used to find the customer lifetime value for a UK based registered company that sells unique gifts.
Anu Gupta Aggarwal, Sweta Yadav
openaire   +1 more source

Classifying the segmentation of customer value via RFM model and RS theory

Expert Systems With Applications, 2009
Data mining is a powerful new technique to help companies mining the patterns and trends in their customers data, then to drive improved customer relationships, and it is one of well-known tools given to customer relationship management (CRM). However, there are some drawbacks for data mining tool, such as neural networks has long training times and ...
Ching-Hsue Cheng
exaly   +3 more sources