Preference Robustness Analysis

Preference Robustness Analysis is a methodological framework within preference modeling that evaluates the stability and reliability of preference outcomes under variations in input assumptions, model parameters, or data perturbations.

11

Publications

341

Citations

31

Authors

25

Institutions

Publications per year

2017–2026

8

Authors

31

  1. MK
    Miłosz Kadziński

    Poznań University of Technology, Poland

    3 publications · 99 citations

    3

    h-index

  2. MS
    Michael S. Lynch

    University of Washington, United States

    1 publications · 35 citations

    1

    h-index

  3. JS
    Jeffrey S. Rosenschein

    Hebrew University of Jerusalem, Israel

    1 publications · 26 citations

    1

    h-index

  4. GA
    Gal A. Kaminka

    Bar-Ilan University, Israel

    1 publications · 26 citations

    1

    h-index

  5. GJ
    Gary J. Miller

    University of Colorado Health, United States

    1 publications · 35 citations

    1

    h-index

1–5 of 31

Venues

  1. Information Sciences

    2 publications · 61 citations

    2

    h-index

  2. Information Fusion

    1 publications · 53 citations

    1

    h-index

  3. Political Analysis

    1 publications · 35 citations

    1

    h-index

  4. Computers & Operations Research

    1 publications · 48 citations

    1

    h-index

  5. Annals of Operations Research

    1 publications · 18 citations

    1

    h-index

1–5