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September 18, 2025Paladyn Journal of Behavioral RoboticsOpen Access

Research on pattern recognition of tourism consumer behavior based on fuzzy clustering analysis

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Authors

HZHuanhuan ZhangXinyang Normal UniversityYYYang YuFujian Medical University

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Overview

Research demonstrates fuzzy clustering analysis identifies consumer behavior patterns in tourism, highlighting potential benefits for service providers.

Key Points

  • The use of fuzzy clustering analysis successfully reveals multiple consumer behavior patterns in tourism, indicating diverse preferences.
  • Findings show an accuracy of 97.84% using metrics like precision and recall with the STFO-FCMC method for analyzing behavior.
  • Principal component analysis is utilized for dimensionality reduction, while data normalization prepares the datasets for effective analysis.
  • Overall, enhanced strategies based on detected consumer behavior patterns can support improved marketing and service delivery.

Cite This Study

Zhang et al. (2025) studied this question.

synapsesocial.com/papers/68d461cb31b076d99fa612d3https://doi.org/10.1515/pjbr-2025-0007
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