Rough sets, rough relations and rough functions
Fundamenta Informaticae - Special issue: rough sets
Neural network design
Rough set approach to incomplete information systems
Information Sciences: an International Journal
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets in Knowledge Discovery 2: Applications, Case Studies, and Software Systems
Rough Sets in Knowledge Discovery 2: Applications, Case Studies, and Software Systems
Knowledge discovery on RFM model using Bernoulli sequence
Expert Systems with Applications: An International Journal
Study of integrate models of rough sets and grey systems
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I
Artificial Intelligence Review
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In many models of customer relationship management (CRM) analysis, RFM model is widely accepted. RMF model is an important tool to weigh customer value and customer profitability. To address this issue, this paper closely combines the rough set theory with neural network and uses rough set theory to process the random sample data from dataset. Then the data is projected from high-dimensional to low-dimensional, and the redundant attributes of sample data are removed. The sampling data which is processed after using rough set theory is trained on the neural network. At last, we use the test data to test and verify this model. Experimental results show that compared with the traditional BP neural network, rough neural network has a significant improvement in accuracy, and an advantage in the computing speed.