Imprecise Performance Data

Imprecise Performance Data is a type of performance information in outranking methods characterized by uncertainty, vagueness, or partial specification, which distinguishes it from precise, deterministic performance data by explicitly accommodating degrees of ambiguity in criterion-based evaluations.

24

Publications

878

Citations

79

Authors

39

Institutions

Publications per year

2017–2026

8

Authors

79

  1. SS
    Saber Saati

    Islamic Azad University North Tehran Branch, Iran

    2 publications · 139 citations

    2

    h-index

  2. BH
    Bi‐Min Hsu

    Cheng Shiu University, Taiwan

    1 publications · 10 citations

    1

    h-index

  3. SC
    Seungtaek Choi

    The University of Texas MD Anderson Cancer Center, United States

    1 publications · 22 citations

    1

    h-index

  4. JW
    Jiamin Wang

    Long Island University, United States

    1 publications · 129 citations

    1

    h-index

  5. RK
    Rishabh Kapoor

    Virginia Commonwealth University, United States

    1 publications · 22 citations

    1

    h-index

1–5 of 79

Venues

  1. Expert Systems with Applications

    2 publications · 149 citations

    2

    h-index

  2. Soft Computing

    1 publications · 21 citations

    1

    h-index

  3. 1

    h-index

  4. Australian Journal of Agricultural and Resource Economics

    AJARE · 1 publications · 41 citations

    1

    h-index

  5. Journal of Applied Sciences

    1 publications · 27 citations

    1

    h-index

1–5