Fuzzy data mining for customer loyalty analysis

Jay Bharateesh Simha · S. S. Iyengar

13 citations0/0 files stored

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Customer churn and segmentation Customer Service Quality and Loyalty Data Mining and Machine Learning Applications

Abstract

One of the major conceptual analyses in analytical CRM is customer loyalty. Current methods use user defined and statistical methods for loyalty analysis. One of the major limitations of these methods is that they assign every customer into exactly one segment, which may be counter intuitive. In this paper a novel approach using fuzzy logic has been discussed. The proposed method uses fuzzy context model to extract the customer membership to a segment of interest. A real life case study shows promising results for the proposed approach.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Imported from OpenAlex (CC0) — nothing here is generated.