Interval Valued Weighting

Interval Valued Weighting is a criteria weighting method that assigns to each criterion an interval of possible weight values rather than a single precise weight, thereby capturing uncertainty and variability in the relative importance of criteria.

25

Publications

953

Citations

72

Authors

57

Institutions

Publications per year

2017–2026

13

Variants

Interval-valued Weighting

Authors

72

  1. AE
    Ali Ebrahimnejad

    Qaemshahr Islamic Azad University, Iran

    2 publications · 27 citations

    2

    h-index

  2. SM
    Sam Mosallaeipour

    Islamic Azad University, Masjed Soleyman, Iran

    1 publications · 26 citations

    1

    h-index

  3. DW
    David W. Coit

    Rutgers, The State University of New Jersey, United States

    1 publications · 30 citations

    1

    h-index

  4. ZD
    Zexing Dai

    University of Shanghai for Science and Technology, China

    1 publications · 22 citations

    1

    h-index

  5. XL
    Xiaodong Lai

    South China Normal University, China

    1 publications · 206 citations

    1

    h-index

1–5 of 72

Venues

  1. Information Sciences

    3 publications · 201 citations

    3

    h-index

  2. Journal of Intelligent & Fuzzy Systems

    2 publications · 27 citations

    2

    h-index

  3. Axioms

    1 publications · 23 citations

    1

    h-index

  4. International Journal of Intelligent Systems

    1 publications · 11 citations

    1

    h-index

  5. Applied Soft Computing

    1 publications · 206 citations

    1

    h-index

1–5