Incomplete Preference Ranking

Incomplete Preference Ranking is a type of preference ranking in which the preference relations among alternatives are not fully specified, distinguishing it from complete preference rankings by allowing partial or missing comparisons within the ordinal evaluation framework.

23

Publications

1.1K

Citations

49

Authors

38

Institutions

Publications per year

2017–2026

9

Authors

49

  1. WX
    Wei Xiong

    Princeton University, United States

    2 publications · 74 citations

    2

    h-index

  2. AS
    Alp Simsek

    Massachusetts Institute of Technology, United States

    2 publications · 74 citations

    2

    h-index

  3. MK
    Miłosz Kadziński

    Poznań University of Technology, Poland

    2 publications · 33 citations

    2

    h-index

  4. MK
    Markus K. Brunnermeier

    Princeton University, United States

    2 publications · 74 citations

    2

    h-index

  5. ZX
    Zeshui Xu

    Sichuan University, China

    2 publications · 281 citations

    2

    h-index

1–5 of 49

Venues

  1. Information Sciences

    3 publications · 150 citations

    3

    h-index

  2. European Journal of Operational Research

    3 publications · 103 citations

    3

    h-index

  3. 1

    h-index

  4. Omega

    1 publications · 19 citations

    1

    h-index

  5. Applied Mathematical Modelling

    1 publications · 64 citations

    1

    h-index

1–5