Research Article
Application of Fuzzy c-Means Clustering Algorithm in Consumer Psychology
@INPROCEEDINGS{10.1007/978-3-031-23950-2_29, author={Sun Shufen}, title={Application of Fuzzy c-Means Clustering Algorithm in Consumer Psychology}, proceedings={Application of Big Data, Blockchain, and Internet of Things for Education Informatization. Second EAI International Conference, BigIoT-EDU 2022, Virtual Event, July 29--31, 2022, Proceedings, Part I}, proceedings_a={BIGIOT-EDU}, year={2023}, month={1}, keywords={Consumer psychology Mobile phone Fuzzy clustering C mean}, doi={10.1007/978-3-031-23950-2_29} }- Sun Shufen
Year: 2023
Application of Fuzzy c-Means Clustering Algorithm in Consumer Psychology
BIGIOT-EDU
Springer
DOI: 10.1007/978-3-031-23950-2_29
Abstract
In order to increase the sales share, mobile phone manufacturers must understand the needs of consumers. The traditional c-means analysis method is sensitive to distance, and the shortcomings of the traditional method can be overcome with the help of fuzzy control theory. In this paper, 200 college students are randomly selected to conduct a questionnaire survey on the six factors affecting the purchase of smart phones, and the data are analyzed by using the improved fuzzy c-means clustering. The results show that the function, appearance and brand of mobile phones have an impact on the purchase of mobile phones. The results are helpful for mobile phone manufacturers to understand users’ consumption psychology and improve product competitiveness.
