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August 6, 2025SymmetryOpen Access

A Fuzzy MCDM-Based Deep Multi-View Clustering Approach for Large-Scale Multi-View Data Analysis

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Authors

YLYueyao LiShihezi UniversityBWBin WuJiangsu University

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Implication

This method improves clustering accuracy in multi-view data, suggesting that fuzzy techniques enhance decision-making in big-data analysis.

Key Points

  • MAIN FINDING: The proposed CFF-TOPSIS method enhances decision-making for multi-view data clustering.
  • KEY EVIDENCE: Sensitivity and comparative analyses confirm the reliability and superiority of the proposed method.
  • APPROACH: The model utilizes fuzzy sets to evaluate clustering against five key criteria with input from three decision-makers.
  • SIGNIFICANCE: By addressing uncertainty and maintaining symmetry, this method offers a robust solution for complex big-data challenges.

Cite This Study

Li et al. (2025) studied this question.

synapsesocial.com/papers/689522009f4f1c896c429071https://doi.org/10.3390/sym17081253
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