Fuzzy Utility Functions

Fuzzy Utility Functions is a mathematical construct in fuzzy multi-criteria decision making that characterizes the degree of satisfaction or preference of an alternative under uncertainty by mapping fuzzy inputs to a utility value through membership functions and linguistic variables.

240

Publications

15.1K

Citations

506

Authors

299

Institutions

Publications per year

2017–2026

73

Authors

506

  1. ZX
    Zeshui Xu

    Sichuan University, China

    9 publications · 741 citations

    9

    h-index

  2. SC
    Shyi‐Ming Chen

    National Taiwan University of Science and Technology, Taiwan

    5 publications · 551 citations

    5

    h-index

  3. HL
    Huchang Liao

    Sichuan University, China

    5 publications · 155 citations

    5

    h-index

  4. ZW
    Zhou-Jing Wang

    Zhejiang University of Finance and Economics, China

    4 publications · 361 citations

    4

    h-index

  5. WP
    Witold Pedrycz

    University of Alberta, Canada

    4 publications · 145 citations

    4

    h-index

1–5 of 506

Venues

  1. Fuzzy Sets and Systems

    38 publications · 3.7K citations

    21

    h-index

  2. Information Sciences

    14 publications · 954 citations

    13

    h-index

  3. Applied Soft Computing

    12 publications · 840 citations

    12

    h-index

  4. European Journal of Operational Research

    8 publications · 1.1K citations

    8

    h-index

  5. IEEE Transactions on Fuzzy Systems

    TFS · 7 publications · 449 citations

    7

    h-index

1–5