Intuitionistic Fuzzy Sets

Intuitionistic Fuzzy Sets is a mathematical framework within fuzzy logic that extends classical fuzzy sets by incorporating both a membership function and a non-membership function, thereby allowing the representation of uncertainty through the explicit modeling of hesitation or indeterminacy.

4.4K

Publications

282.3K

Citations

5.6K

Authors

1.7K

Institutions

Publications per year

2017–2026

2.2K

Variants

Atanassov's Intuitionistic Fuzzy Sets

Authors

5.6K

  1. ZX
    Zeshui Xu

    Sichuan University, China

    153 publications · 26.5K citations

    68

    h-index

  2. HG
    Harish Garg

    Thapar Institute of Engineering & Technology, India

    128 publications · 9.5K citations

    59

    h-index

  3. SC
    Shyi‐Ming Chen

    National Taiwan University of Science and Technology, Taiwan

    55 publications · 4.7K citations

    36

    h-index

  4. GW
    Guiwu Wei

    Sichuan Normal University, China

    50 publications · 5.2K citations

    35

    h-index

  5. SW
    Shu‐Ping Wan

    Jiangxi University of Finance and Economics, China

    54 publications · 3.1K citations

    34

    h-index

1–5 of 5.6K

Venues

  1. Information Sciences

    215 publications · 20.4K citations

    79

    h-index

  2. International Journal of Intelligent Systems

    130 publications · 16.1K citations

    67

    h-index

  3. Fuzzy Sets and Systems

    165 publications · 24.7K citations

    66

    h-index

  4. Applied Soft Computing

    118 publications · 10.3K citations

    61

    h-index

  5. Expert Systems with Applications

    114 publications · 11K citations

    58

    h-index

1–5