Multiple-perspective consumer segmentation using improved weighted Fuzzy k-prototypes clustering and swarm intelligence algorithm for fresh apricot market

文献类型： 外文期刊

第一作者： Shi, Yan

作者： Shi, Yan;Zhang, Siyuan;Wang, Siwen;Feng, Jianying;Xie, Hui

作者机构：

关键词： consumer segmentation; cluster analysis; MDPSO-WFKP algorithm; MDSSA-WFKP algorithm; precision marketing

期刊名称：ITALIAN JOURNAL OF FOOD SCIENCE （ 影响因子：3.3； 五年影响因子：1.8 ）

ISSN： 1120-1770

年卷期： 2024 年 36 卷 4 期

页码：

收录情况： SCI

摘要： Leveraging clustering technology for consumer segmentation is crucial for discerning the nuanced differences among fresh apricot consumer groups and subsequently executing precise marketing strategies. To achieve a more comprehensive and lucid consumer segmentation and identify typical characteristics of apricot consumers in different clusters, this research constructs a novel multiple-perspective segmentation indicator system for fresh apricot consumers. Given the diverse degrees of importance and types of consumer segmentation variables, and the inherent sensitivity of the original Fuzzy k-prototypes (FKP) algorithm to clustering centers, we proposed the weighted Fuzzy k-prototypes (WFKP) algorithms for mixed data (MD) optimized by the particle swarm optimization (PSO) algorithm (MDPSO-WFKP) and mixed data sparrow search algorithm (SSA) (MDSSA-WFKP), both incorporating information entropy weighting for mixed attributes. We test the proposed algorithms on four University of California Irvine machine learning repository (UCI) datasets and the consumer segmentation dataset, and the performance of all selected evaluation indexes shows significant improvement. These findings unequivocally validate the efficacy of the proposed methodologies. Since the MDSSA-WFKP algorithm has the best comprehensive effect on the evaluation indexes, we use it to conduct in-depth apricot consumer segmentation research and find that the apricot consumers can be subdivided into three groups with differentiation: 'Buddhist-like youths,' 'Upscale attribute enthusiasts,' and 'Quality-oriented consumers'. Finally, this paper gives the corresponding marketing suggestions based on the characteristics of the segmented groups.

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