Symmetry and Fuzzy Set

A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Mathematics".

Deadline for manuscript submissions: 31 January 2026 | Viewed by 32

Special Issue Editor


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Guest Editor
School of Computer Science and Engineering, University of Westminster, London, UK
Interests: machine learning; data mining; big data; data science; intuitionistic fuzzy sets

Special Issue Information

Dear Colleagues,

This Special Issue aims to provide a comprehensive platform for presenting cutting-edge research that bridges the gap between fuzzy logic and its extensions in the practical application of symmetry across various domains, including fuzzy measures, fuzzy relations, fuzzy control, fuzzy logic and data mining/machine learning, fuzzy decision making, fuzzy modeling, and fuzzy information retrieval. In recent years, the integration of fuzzy logic with multi-criteria methods has gained traction, improving the robustness of results obtained by MCDM/MCDA models. However, traditional MCDM methods encounter bottlenecks in high-dimensional problems. Limited research has evaluated the effectiveness of LLMs in tackling specific MCDM problems where symmetry may be present. We wish to further explore the capability of LLMs by proposing approaches for automatically addressing general, complex MCDM problems. Submissions involving applications of fuzzy theory and/or its extensions—where symmetry, or a deliberate lack thereof, is present—are also welcome. 

Dr. Panagiotis Chountas
Guest Editor

Manuscript Submission Information

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Keywords

  • fuzzy theory and symmetry
  • fuzzy decision making
  • intuitionistic fuzzy sets
  • multiple-criteria decision-making methods (MCDMs)
  • fuzzy fractional Brownian motion
  • large language models (LLMs)
  • data and knowledge engineering

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Published Papers

This special issue is now open for submission.
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