Interval Outranking

Interval Outranking is an outranking method that evaluates alternatives under uncertainty by representing preferences within interval-valued bounds, thereby distinguishing itself from crisp or fuzzy outranking approaches through its use of bounded intervals to model imprecision in decision-maker judgments.

51

Publications

3.7K

Citations

96

Authors

58

Institutions

Publications per year

2017–2026

21

Authors

96

  1. TC
    Ting‐Yu Chen

    Chang Gung University, Taiwan

    7 publications · 541 citations

    7

    h-index

  2. JW
    Jian‐qiang Wang

    Central South University, China

    7 publications · 571 citations

    7

    h-index

  3. HZ
    Hong‐yu Zhang

    Central South University, China

    6 publications · 593 citations

    6

    h-index

  4. EF
    Eduardo Fernández

    Universidad Autónoma de Sinaloa, Mexico

    6 publications · 182 citations

    6

    h-index

  5. LC
    Laura Cruz–Reyes

    Instituto Tecnológico de Ciudad Madero, Mexico

    3 publications · 72 citations

    3

    h-index

1–5 of 96

Venues

  1. Soft Computing

    5 publications · 266 citations

    5

    h-index

  2. Fuzzy Sets and Systems

    4 publications · 387 citations

    4

    h-index

  3. European Journal of Operational Research

    3 publications · 67 citations

    3

    h-index

  4. Information Sciences

    3 publications · 406 citations

    3

    h-index

  5. Computers & Industrial Engineering

    2 publications · 89 citations

    2

    h-index

1–5