Threshold-based Preference Modeling

Threshold-Based Preference Modeling is an outranking method that incorporates predefined indifference, preference, and veto thresholds to systematically represent decision-maker preferences by distinguishing between significant and non-significant differences in criterion evaluations.

50

Publications

2.3K

Citations

105

Authors

88

Institutions

Publications per year

2017–2026

14

Authors

105

  1. MK
    Miłosz Kadziński

    Poznań University of Technology, Poland

    3 publications · 100 citations

    3

    h-index

  2. ZX
    Zeshui Xu

    Sichuan University, China

    3 publications · 132 citations

    3

    h-index

  3. VC
    Víctor Cantillo

    Universidad del Norte, Colombia

    3 publications · 179 citations

    3

    h-index

  4. JD
    Juan de Dios Ortúzar

    Pontificia Universidad Católica de Chile, Chile

    3 publications · 179 citations

    3

    h-index

  5. SG
    Salvatore Greco

    University of Catania, Italy

    2 publications · 70 citations

    2

    h-index

1–5 of 105

Venues

  1. Journal of Marketing Research

    3 publications · 159 citations

    3

    h-index

  2. Journal of Multi-Criteria Decision Analysis

    3 publications · 148 citations

    3

    h-index

  3. Management Science

    2 publications · 192 citations

    2

    h-index

  4. Knowledge-Based Systems

    2 publications · 181 citations

    2

    h-index

  5. Transportation Research Part B Methodological

    2 publications · 148 citations

    2

    h-index

1–5