Rule Optimization

Rule Optimization is a computational method within rule-based representation that systematically enhances the efficiency, accuracy, or interpretability of rule sets by minimizing redundancy, resolving conflicts, and prioritizing high-impact rules through algorithmic refinement.

223

Publications

9.5K

Citations

563

Authors

272

Institutions

Publications per year

2017–2026

43

Authors

563

  1. HI
    Hisao Ishibuchi

    Osaka Prefecture University, Japan

    9 publications · 688 citations

    9

    h-index

  2. CR
    Cynthia Rudin

    Duke University, United States

    5 publications · 336 citations

    5

    h-index

  3. MA
    Mona Arabzadeh

    Amirkabir University of Technology, Iran

    3 publications · 100 citations

    3

    h-index

  4. RA
    Rafał Adamczak

    Nicolaus Copernicus University, Poland

    3 publications · 44 citations

    3

    h-index

  5. DA
    Daniel Alabi

    Harvard University Press, United States

    3 publications · 273 citations

    3

    h-index

1–5 of 563

Venues

  1. Fuzzy Sets and Systems

    9 publications · 879 citations

    9

    h-index

  2. IEEE Transactions on Fuzzy Systems

    TFS · 7 publications · 1.3K citations

    7

    h-index

  3. Expert Systems with Applications

    3 publications · 117 citations

    3

    h-index

  4. Soft Computing

    3 publications · 76 citations

    3

    h-index

  5. 3

    h-index

1–5