Fuzzy Spatial Representation

Fuzzy Spatial Representation is a formal method for modeling spatial entities and their relationships under conditions of uncertainty and imprecision by employing fuzzy set theory to represent indeterminate boundaries, vague spatial predicates, or graduated membership in geographic phenomena.

139

Publications

5.7K

Citations

282

Authors

156

Institutions

Publications per year

2017–2026

18

Authors

282

  1. MS
    Markus Schneider

    University of Florida, United States

    6 publications · 151 citations

    6

    h-index

  2. IB
    Isabelle Bloch

    Télécom Paris, France

    6 publications · 535 citations

    6

    h-index

  3. VΒ
    Vincent Β. Robinson

    University of Toronto, Canada

    4 publications · 234 citations

    4

    h-index

  4. YL
    Yee Leung

    Chinese University of Hong Kong, Hong Kong SAR China

    4 publications · 167 citations

    4

    h-index

  5. FE
    Frederick E. Petry

    Tulane University, United States

    3 publications · 82 citations

    3

    h-index

1–5 of 282

Venues

  1. 11

    h-index

  2. Fuzzy Sets and Systems

    11 publications · 568 citations

    11

    h-index

  3. Computers Environment and Urban Systems

    3 publications · 193 citations

    3

    h-index

  4. Computers & Geosciences

    CAGEO · 3 publications · 170 citations

    3

    h-index

  5. Land Use Policy

    3 publications · 93 citations

    3

    h-index

1–5