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September 10, 2025Journal of Posthumanism

Fuzzy Clustering Approach to Consumer Behavior Analysis Based on Purchasing Patterns

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Authors

AMAnber Abraheem Shlash MohammadINTI International UniversityNYN YogeeshGovernment of KarnatakaSASulieman Ibraheem Shelash Al-HawaryINTI International University

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Overview

Observational analysis identifies two consumer segments using fuzzy clustering, suggesting adaptable marketing strategies.

Key Points

  • Fuzzy clustering identifies consumer segments, revealing that high spend customers favor products frequently and remain price-insensitive.
  • The study finds that traditional clustering methods often fail to capture the complexity of purchasing behavior in consumers.
  • Utilizing the FCM algorithm allows for a more nuanced understanding of consumer preferences and behaviors.
  • Insights gained from fuzzy clustering can enhance marketing personalization, dynamic pricing, and retail space optimization.

Cite This Study

Mohammad et al. (2024) studied this question.

synapsesocial.com/papers/68c1e08c54b1d3bfb60fda14https://doi.org/10.63332/joph.v4i3.424
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Also Consider

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  3. 3A Temporal Adaptive Fuzzy Clustering Framework for Dynamic Behavioral Segmentation in E-Commerce2026
  4. 4K-Means Clustering Method For Customer Segmentation Based On Potential Purchases2024 · 3 citations
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