Fuzzy Preference Modeling

Fuzzy Preference Modeling is a preference modeling approach that belongs to the class of methods using fuzzy set theory to represent and handle imprecise, uncertain, or graded preference relations, distinguishing itself by allowing degrees of preference membership rather than binary, crisp comparisons.

586

Publications

37.4K

Citations

1.1K

Authors

556

Institutions

Publications per year

2017–2026

251

Authors

1.1K

  1. ZX
    Zeshui Xu

    Sichuan University, China

    28 publications · 2K citations

    25

    h-index

  2. FM
    Fanyong Meng

    Central South University, China

    13 publications · 453 citations

    13

    h-index

  3. HC
    Huayou Chen

    Anhui University, China

    12 publications · 292 citations

    12

    h-index

  4. EH
    Enrique Herrera‐Viedma

    Universidad de Granada, Spain

    14 publications · 2.3K citations

    12

    h-index

  5. YX
    Yejun Xu

    Hohai University, China

    13 publications · 1.1K citations

    12

    h-index

1–5 of 1.1K

Venues

  1. Fuzzy Sets and Systems

    49 publications · 10.3K citations

    32

    h-index

  2. Information Sciences

    36 publications · 1.9K citations

    27

    h-index

  3. Applied Soft Computing

    35 publications · 2.4K citations

    27

    h-index

  4. Expert Systems with Applications

    27 publications · 2.7K citations

    23

    h-index

  5. Computers & Industrial Engineering

    17 publications · 705 citations

    16

    h-index

1–5