Fuzzy Consensus Models

Fuzzy Consensus Models is a decision-making framework within fuzzy multi-criteria decision making that integrates fuzzy set theory to model and aggregate uncertain or imprecise expert judgments in group decision processes, distinguishing itself by enabling the quantification and achievement of consensus through linguistic or numerical fuzzy representations.

226

Publications

14K

Citations

511

Authors

262

Institutions

Publications per year

2017–2026

149

Authors

511

  1. EH
    Enrique Herrera‐Viedma

    Universidad de Granada, Spain

    20 publications · 2.5K citations

    17

    h-index

  2. YX
    Yejun Xu

    Hohai University, China

    15 publications · 1.1K citations

    14

    h-index

  3. WP
    Witold Pedrycz

    University of Alberta, Canada

    12 publications · 592 citations

    12

    h-index

  4. ZX
    Zeshui Xu

    Sichuan University, China

    11 publications · 993 citations

    11

    h-index

  5. FH
    Francisco Herrera

    Universidad de Granada, Spain

    9 publications · 1.4K citations

    9

    h-index

1–5 of 511

Venues

  1. IEEE Transactions on Fuzzy Systems

    TFS · 17 publications · 1.8K citations

    17

    h-index

  2. Information Sciences

    15 publications · 898 citations

    15

    h-index

  3. Applied Soft Computing

    16 publications · 943 citations

    15

    h-index

  4. Information Fusion

    13 publications · 1.4K citations

    13

    h-index

  5. Computers & Industrial Engineering

    9 publications · 353 citations

    9

    h-index

1–5