Optimization-based Decision Making

Optimization-Based Decision Making is a decision-making approach that belongs to the class of systematic methods for selecting the best alternative among a set of feasible options, distinguished by its reliance on mathematical optimization techniques to maximize or minimize a well-defined objective function subject to constraints.

239

Publications

20.8K

Citations

673

Authors

321

Institutions

Publications per year

2017–2026

109

Authors

673

  1. EK
    Edmundas Kazimieras Zavadskas

    Vilnius Gediminas Technical University, Lithuania

    5 publications · 124 citations

    5

    h-index

  2. SC
    Shankar Chakraborty

    Jadavpur University, India

    3 publications · 711 citations

    3

    h-index

  3. JW
    Jyrki Wallenius

    Aalto University, Finland

    3 publications · 1K citations

    3

    h-index

  4. BC
    Benjamin Chris Ampimah

    Cape Coast Technical University, Ghana

    2 publications · 84 citations

    2

    h-index

  5. AB
    Alexander Brodsky

    George Mason University, United States

    2 publications · 33 citations

    2

    h-index

1–5 of 673

Venues

  1. Expert Systems with Applications

    6 publications · 252 citations

    6

    h-index

  2. IEEE Access

    6 publications · 294 citations

    6

    h-index

  3. Applied Soft Computing

    5 publications · 175 citations

    5

    h-index

  4. Management Science

    4 publications · 1K citations

    4

    h-index

  5. 4

    h-index

1–5