Multi-attribute Utility Aggregation

Multi-Attribute Utility Aggregation is a formal method in decision theory that combines multiple utility functions, each representing preferences over distinct attributes, into a single overall utility function through mathematically defined rules that reflect trade-offs and preference interdependencies among the attributes.

132

Publications

10K

Citations

316

Authors

180

Institutions

Publications per year

2017–2026

25

Authors

316

  1. PK
    P. K. Kapur

    University of Delhi, India

    7 publications · 108 citations

    7

    h-index

  2. PH
    Peter H. Farquhar

    Carnegie Mellon University, United States

    4 publications · 245 citations

    4

    h-index

  3. JC
    John C. Butler

    The University of Texas at Austin, United States

    3 publications · 114 citations

    3

    h-index

  4. OS
    Ompal Singh

    University of Delhi, India

    3 publications · 44 citations

    3

    h-index

  5. JS
    James S. Dyer

    The University of Texas at Austin, United States

    2 publications · 1.2K citations

    2

    h-index

1–5 of 316

Venues

  1. Operations Research

    7 publications · 770 citations

    7

    h-index

  2. Organizational Behavior and Human Performance

    5 publications · 648 citations

    5

    h-index

  3. Management Science

    4 publications · 1.4K citations

    4

    h-index

  4. 4

    h-index

  5. Journal of Mathematical Psychology

    3 publications · 163 citations

    3

    h-index

1–5