Criteria Correlation Analysis

Criteria Correlation Analysis is a methodological framework within decision science that systematically evaluates the interdependencies among selection criteria by quantifying their pairwise relationships to identify redundancy, complementarity, or conflict in multi-criteria decision-making contexts.

29

Publications

1.3K

Citations

98

Authors

60

Institutions

Publications per year

2017–2026

20

Publications

29

1–5 of 29

Authors

98

  1. XW
    Xiaoyan Wang

    Hohai University, China

    1 publications · 83 citations

    1

    h-index

  2. OM
    Olubayo Moses Babatunde

    University of Lagos, Nigeria

    1 publications · 47 citations

    1

    h-index

  3. MA
    Milad Alipour-Bashary

    Nottingham Trent University, United Kingdom

    1 publications · 13 citations

    1

    h-index

  4. AZ
    Annan Zhou

    RMIT University, Australia

    1 publications · 11 citations

    1

    h-index

  5. JM
    Jean‐Luc Marichal

    University of Luxembourg, Luxembourg

    1 publications · 34 citations

    1

    h-index

1–5 of 98

Venues

  1. 2

    h-index

  2. Journal of Intelligent & Fuzzy Systems

    2 publications · 125 citations

    2

    h-index

  3. Ecological Indicators

    2 publications · 130 citations

    2

    h-index

  4. Mathematical Problems in Engineering

    MPE · 1 publications · 15 citations

    1

    h-index

  5. Energy Exploration & Exploitation

    1 publications · 22 citations

    1

    h-index

1–5