Fuzzy Logic Screening

Fuzzy Logic Screening is a decision-making methodology within the domain of concept screening that employs fuzzy logic to evaluate and rank early-stage ideas by capturing and processing imprecise, uncertain, or qualitative input data through membership functions and linguistic rules.

28

Publications

907

Citations

66

Authors

39

Institutions

Publications per year

2017–2026

4

Authors

66

  1. CC
    C.-T. Chen

    Dayeh University, Taiwan

    2 publications · 138 citations

    2

    h-index

  2. AZ
    Abazar Zohrabi

    Islamic Azad University of Shiraz, Iran

    2 publications · 64 citations

    2

    h-index

  3. NM
    Nikzad Manteghi

    Islamic Azad University of Shiraz, Iran

    2 publications · 64 citations

    2

    h-index

  4. DG
    Dominique Guérillot

    Texas A&M University at Qatar, Qatar

    2 publications · 46 citations

    2

    h-index

  5. AA
    Adel Azar

    Tarbiat Modares University, Iran

    2 publications · 58 citations

    2

    h-index

1–5 of 66

Venues

  1. Procedia - Social and Behavioral Sciences

    3 publications · 75 citations

    3

    h-index

  2. International Petroleum Technology Conference

    Conference · 2 publications · 31 citations

    2

    h-index

  3. 2

    h-index

  4. IEEE Transactions on Engineering Management

    2 publications · 102 citations

    2

    h-index

  5. Expert Systems with Applications

    1 publications · 35 citations

    1

    h-index

1–5