Interval-valued Decision Matrices

Interval-Valued Decision Matrices is a decision analysis framework within multi-criteria decision-making that employs interval-valued data to represent uncertain or imprecise performance ratings and criteria weights, thereby extending classical decision matrices by capturing variability and ambiguity in evaluation.

156

Publications

9.6K

Citations

350

Authors

196

Institutions

Publications per year

2017–2026

75

Authors

350

  1. SC
    Shyi‐Ming Chen

    National Taiwan University of Science and Technology, Taiwan

    11 publications · 483 citations

    11

    h-index

  2. SM
    Seyed Meysam Mousavi

    Shahed University, Iran

    8 publications · 451 citations

    8

    h-index

  3. TC
    Ting‐Yu Chen

    Chang Gung University, Taiwan

    6 publications · 769 citations

    6

    h-index

  4. ZW
    Zhou-Jing Wang

    Zhejiang University of Finance and Economics, China

    6 publications · 206 citations

    6

    h-index

  5. ZX
    Zeshui Xu

    Sichuan University, China

    6 publications · 1.1K citations

    6

    h-index

1–5 of 350

Venues

  1. Information Sciences

    24 publications · 1.2K citations

    21

    h-index

  2. Expert Systems with Applications

    10 publications · 689 citations

    10

    h-index

  3. Knowledge-Based Systems

    9 publications · 1.3K citations

    9

    h-index

  4. Soft Computing

    9 publications · 505 citations

    9

    h-index

  5. Applied Soft Computing

    8 publications · 577 citations

    8

    h-index

1–5