Adaptive Rule Systems

Adaptive Rule Systems is a rule-based design framework that dynamically modifies its inference rules in response to changing environmental conditions or input data, thereby distinguishing itself from static rule systems through its capacity for real-time adaptation and learning.

71

Publications

2.5K

Citations

184

Authors

95

Institutions

Publications per year

2017–2026

14

Authors

184

  1. FD
    Florian Daniel

    University of Trento, Italy

    3 publications · 42 citations

    3

    h-index

  2. GP
    Giuseppe Pozzi

    Politecnico di Milano, Italy

    3 publications · 42 citations

    3

    h-index

  3. MM
    Maristella Matera

    Politecnico di Milano, Italy

    3 publications · 42 citations

    3

    h-index

  4. AT
    Alireza Tabebordbar

    Macquarie University, Australia

    2 publications · 32 citations

    2

    h-index

  5. AB
    Amin Beheshti

    Macquarie University, Australia

    2 publications · 32 citations

    2

    h-index

1–5 of 184

Venues

  1. IEEE Transactions on Fuzzy Systems

    TFS · 3 publications · 195 citations

    3

    h-index

  2. Expert Systems with Applications

    3 publications · 116 citations

    3

    h-index

  3. Renewable Energy

    1 publications · 19 citations

    1

    h-index

  4. International Journal of Remote Sensing

    1 publications · 76 citations

    1

    h-index

  5. Color Research & Application

    1 publications · 31 citations

    1

    h-index

1–5