Fuzzy Expected Utility

Fuzzy Expected Utility is a decision-theoretic model that extends expected utility theory by incorporating fuzzy set representations of uncertainty and imprecise probabilities to account for vagueness in agents' beliefs and preferences.

34

Publications

1.3K

Citations

74

Authors

51

Institutions

Publications per year

2017–2026

10

Authors

74

  1. ZX
    Zeshui Xu

    Sichuan University, China

    2 publications · 96 citations

    2

    h-index

  2. XT
    Xiaoli Tian

    Sichuan University, China

    2 publications · 96 citations

    2

    h-index

  3. MÁ
    Marı́a Ángeles Gil

    Universidad de Oviedo, Spain

    2 publications · 77 citations

    2

    h-index

  4. SS
    S. Subramanian

    Madras Institute of Development Studies, India

    1 publications · 28 citations

    1

    h-index

  5. MC
    Mikael Collan

    Lappeenranta-Lahti University of Technology, Finland

    1 publications · 17 citations

    1

    h-index

1–5 of 74

Venues

  1. Fuzzy Sets and Systems

    7 publications · 205 citations

    7

    h-index

  2. Information Sciences

    5 publications · 156 citations

    5

    h-index

  3. Applied Soft Computing

    2 publications · 90 citations

    2

    h-index

  4. Soft Computing

    2 publications · 29 citations

    2

    h-index

  5. Annals of Operations Research

    1 publications · 28 citations

    1

    h-index

1–5