Probabilistic Set Systems

Probabilistic Set Systems is a mathematical framework within set theory that models collections of sets endowed with probabilistic measures to characterize the likelihood of set membership or occurrence, distinguishing it from deterministic set systems by incorporating uncertainty in set formation and relationships.

8

Publications

192

Citations

15

Authors

10

Institutions

Publications per year

2017–2026

1

Authors

15

  1. WP
    Witold Pedrycz

    University of Alberta, Canada

    2 publications · 54 citations

    2

    h-index

  2. JC
    Jianer Chen

    Texas A&M University, United States

    1 publications · 53 citations

    1

    h-index

  3. HF
    Hitoshi Furuta

    Fuji Oil (Japan), Japan

    1 publications · 19 citations

    1

    h-index

  4. MC
    Mark C. Jeffrey

    Massachusetts Institute of Technology, United States

    1 publications · 11 citations

    1

    h-index

  5. GZ
    Gangqiang Zhang

    Guangxi Minzu University, China

    1 publications · 24 citations

    1

    h-index

1–5 of 15

Venues

  1. European Journal of Operational Research

    2 publications · 30 citations

    2

    h-index

  2. 1

    h-index

  3. Proceedings of the VLDB Endowment

    PVLDB · 1 publications · 20 citations

    1

    h-index

  4. IEEE Access

    1 publications · 24 citations

    1

    h-index

  5. Algorithmica

    1 publications · 53 citations

    1

    h-index

1–5