Applied Soft Computing Journal, volume 94, pages 106366
A dynamic interval type-2 fuzzy customer segmentation model and its application in E-commerce
Publication type: Journal Article
Publication date: 2020-09-01
Journal:
Applied Soft Computing Journal
Q1
Q1
SJR: 1.843
CiteScore: 15.8
Impact factor: 7.2
ISSN: 15684946, 18729681
Software
Abstract
Internet-based services and retail are growing rapidly. To manage online customer relationships with linguistic comments, we propose a dynamic interval type-2 fuzzy customer segmentation model. Interval type-2 fuzzy linguistic labels (IT2FLLs) are used to model customer comments. The similarity of IT2FLLs is computed based on an extended distance method. Customers are segmented dynamically according to the fuzzy equivalence relations of similarity. A case study in E-commerce shows the application of the proposed model, and a comparative analysis shows its effectiveness. The dynamic customer segmentation can help managers to have a deep understanding on customers’ purchasing behaviors and to make accurate recommendations.
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Wu T., Liu X. A dynamic interval type-2 fuzzy customer segmentation model and its application in E-commerce // Applied Soft Computing Journal. 2020. Vol. 94. p. 106366.
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Wu T., Liu X. A dynamic interval type-2 fuzzy customer segmentation model and its application in E-commerce // Applied Soft Computing Journal. 2020. Vol. 94. p. 106366.
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RIS
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TY - JOUR
DO - 10.1016/j.asoc.2020.106366
UR - https://doi.org/10.1016/j.asoc.2020.106366
TI - A dynamic interval type-2 fuzzy customer segmentation model and its application in E-commerce
T2 - Applied Soft Computing Journal
AU - Wu, Tong
AU - Liu, Xinwang
PY - 2020
DA - 2020/09/01
PB - Elsevier
SP - 106366
VL - 94
SN - 1568-4946
SN - 1872-9681
ER -
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@article{2020_Wu,
author = {Tong Wu and Xinwang Liu},
title = {A dynamic interval type-2 fuzzy customer segmentation model and its application in E-commerce},
journal = {Applied Soft Computing Journal},
year = {2020},
volume = {94},
publisher = {Elsevier},
month = {sep},
url = {https://doi.org/10.1016/j.asoc.2020.106366},
pages = {106366},
doi = {10.1016/j.asoc.2020.106366}
}