Rule-based Systems Analysis

Rule-Based Systems Analysis is a methodological framework within business rules analysis that systematically identifies, models, and evaluates organizational decision logic through formalized rules to support consistent and automated information system behavior.

185

Publications

7.4K

Citations

483

Authors

237

Institutions

Publications per year

2017–2026

43

Authors

483

  1. AA
    Alex Aiken

    Stanford University, United States

    4 publications · 382 citations

    4

    h-index

  2. JM
    Joseph M. Hellerstein

    University of California, Berkeley, United States

    4 publications · 382 citations

    4

    h-index

  3. WP
    Witold Pedrycz

    University of Alberta, Canada

    4 publications · 87 citations

    4

    h-index

  4. JW
    Jennifer Widom

    Stanford University, United States

    4 publications · 382 citations

    4

    h-index

  5. PL
    Pericles Loucopoulos

    University of Manchester, United Kingdom

    3 publications · 89 citations

    3

    h-index

1–5 of 483

Venues

  1. Expert Systems with Applications

    5 publications · 161 citations

    5

    h-index

  2. Knowledge-Based Systems

    4 publications · 182 citations

    4

    h-index

  3. Management Science

    4 publications · 86 citations

    4

    h-index

  4. 3

    h-index

  5. Fuzzy Sets and Systems

    3 publications · 105 citations

    3

    h-index

1–5