Fuzzy Hazard Classification

Fuzzy Hazard Classification is a hazard classification method that employs fuzzy logic to model uncertainty and partial membership in multiple hazard categories, thereby distinguishing itself from crisp, binary classification approaches by allowing graded assessments of hazard levels.

6

Publications

357

Citations

26

Authors

15

Institutions

Publications per year

2017–2026

1

Authors

26

  1. IK
    Iphigenia Keramitsoglou

    National Observatory of Athens, Greece

    1 publications · 47 citations

    1

    h-index

  2. EL
    Emily L. C. Shepard

    Swansea University, United Kingdom

    1 publications · 16 citations

    1

    h-index

  3. FA
    Fadiyah Almutairi

    Swansea University, United Kingdom

    1 publications · 16 citations

    1

    h-index

  4. EÇ
    Erkan Çelik

    Munzur University, Türkiye

    1 publications · 220 citations

    1

    h-index

  5. IM
    Ignazio Marcello Mancini

    University of Basilicata, Italy

    1 publications · 37 citations

    1

    h-index

1–5 of 26

Venues

  1. Advanced Engineering Informatics

    1 publications · 25 citations

    1

    h-index

  2. Beijing Daxue xuebao. Ziran kexue ban

    1 publications · 12 citations

    1

    h-index

  3. 1

    h-index

  4. Environmental Monitoring and Assessment

    1 publications · 47 citations

    1

    h-index

  5. Waste Management

    1 publications · 37 citations

    1

    h-index

1–5