The Classification Model of Customer Groups Based on Grader

DOI

10.2991/aiie-16.2016.15How to use a DOI?

Keywords

grader; classification model of customers; fuzzy; SOM neural network

Abstract

The customer demands were divided into dominant and implicit requirements. Classified by professional ability and social background of customer groups, classified indexes of customer groups were established to accurately obtain implicit requirements. In general, natural language expression of customers was vague and not unified. Then triangular fuzzy sets were used to realize fuzzy semantic quantization of customers. Based on self-organizing feature mapping of SOM neural network, the classification model of customers was built. 104 purchase information of customers was collected. 70 purchase information was randomly selected as the training samples. The remaining 34 purchase information was as the testing samples. Then they were respectively inputted to the classification model of SOM neural network to verify its good applicability.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Tao Xi
AU  - Lijing Wang
PY  - 2016/11
DA  - 2016/11
TI  - The Classification Model of Customer Groups Based on Grader
BT  - Proceedings of the 2016 2nd International Conference on Artificial Intelligence and Industrial Engineering (AIIE 2016)
PB  - Atlantis Press
SP  - 64
EP  - 68
SN  - 1951-6851
UR  - https://doi.org/10.2991/aiie-16.2016.15
DO  - 10.2991/aiie-16.2016.15
ID  - Xi2016/11
ER  -