Rule Composition

Rule Composition is a rule-based representation method that integrates multiple inference rules into a unified rule structure through logical or syntactic combination to enhance expressiveness or inference capabilities within a formal knowledge system.

67

Publications

2.1K

Citations

164

Authors

102

Institutions

Publications per year

2017–2026

16

Authors

164

  1. WH
    William Harrison

    IBM Research - Thomas J. Watson Research Center, United States

    3 publications · 185 citations

    3

    h-index

  2. AA
    Arvind Arvind

    Massachusetts Institute of Technology, United States

    3 publications · 80 citations

    3

    h-index

  3. MK
    Matthew Kaplan

    IBM Research - Thomas J. Watson Research Center, United States

    3 publications · 185 citations

    3

    h-index

  4. HO
    Harold Ossher

    IBM Research - Thomas J. Watson Research Center, United States

    3 publications · 185 citations

    3

    h-index

  5. VK
    Vincent Kruskal

    IBM Research - Thomas J. Watson Research Center, United States

    3 publications · 185 citations

    3

    h-index

1–5 of 164

Venues

  1. arXiv (Cornell University)

    Repository · 4 publications · 236 citations

    4

    h-index

  2. Fuzzy Sets and Systems

    3 publications · 52 citations

    3

    h-index

  3. IEEE Transactions on Fuzzy Systems

    TFS · 3 publications · 243 citations

    3

    h-index

  4. Kybernetes

    2 publications · 39 citations

    2

    h-index

  5. International Journal of Intelligent Systems

    2 publications · 169 citations

    2

    h-index

1–5