About the Journal

About the Journal

Soft Computing Fusion with Applications (SCFA) is a premier international peer-reviewed journal committed to propelling innovation and excellence in the realm of soft computing and its fusion with other scientific and industrial domains.  SCFA is a nexus for academics, industry professionals, and researchers worldwide to share high-quality scientific papers that explore the synergies between various soft computing techniques and their practical applications. SCFA encompasses a wide range of topics, including but not limited to evolutionary algorithms, machine learning, fuzzy sets, and their extensions, as well as their applications in areas like engineering design, data science, and intelligent systems. By connecting theoretical frameworks with real-world challenges, SCFA aims to push the boundaries of what soft computing technologies can achieve.

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Vol. 3 No. 1 (2026): Soft Computing Fusion with Applications
					View Vol. 3 No. 1 (2026): Soft Computing Fusion with Applications
Published: 2026-03-11

Articles

  • Intuitionistic Fuzzy Contra Gδ − e∗-Locally Continuous Frameworkfor Secure UPI Transactions under Network Uncertainty

    G. Saravanakumar, Naresh Kumar Jothi, M. Arun
    1-9
    https://doi.org/10.22105/scfa.v3i1.84
  • On the Structure and Properties of Hyperfuzzy and SuperhyperfuzzyIntervals

    Takaaki Fujita
    10-26
    https://doi.org/10.22105/scfa.vi.70
  • AI-Driven Sustainability or Carbon Trap? Rethinking Energy Use and FDI in U.S. Environmental Performance

    Shamina Israt Tithi, Kuan Mo, Md Amran Hossen Pabel, Tahia Tasnuva, Md Omar Farukh
    27-38
    https://doi.org/10.22105/scfa.v3i1.85
  • On Analysis of Development of an Infectious Disease in the Development of an Organism

    Evgeny L. Pankratov, Lubov' E Platonova
    39-44
    https://doi.org/10.22105/scfa.v3i1.83
  • Exploring Novel Application of Single-Valued Neutrosophic Sets

    Narmadhagnanam Radha, A. Edward Samuel
    45-53
    https://doi.org/10.22105/scfa.vi.86
  • An Explainable AI–Driven Type-2 Fuzzy Decision Support Framework for Sustainable Energy Management in Smart Grids

    Mojtaba Nasehi
    54-72
    https://doi.org/10.22105/scfa.v3i1.87
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