Fuzzy Modeling with Spatial Information for Geographic Problems

  • Frederick E. Petry
  • Vincent B. Robinson
  • Maria A. Cobb

Table of contents

  1. Front Matter
    Pages i-xii
  2. Reasoning About Regions, Relations, and Fields

    1. Hans Werner Guesgen
      Pages 1-14
    2. Jörg Verstraete, Guy De Tré, Rita De Caluwe, Axel Hallez
      Pages 41-69
    3. Sungsoon Hwang, Jean-Claude Thill
      Pages 71-104
  3. Fuzzy Classification

    1. Zhijian Liu, Roy George
      Pages 105-119
    2. Cidália Costa Fonte, Weldon A. Lodwick
      Pages 121-142
    3. Suzana Dragićević
      Pages 143-158
    4. Ferdinando Di Martino, Vincenzo Loia, Salvatore Sessa, Michele Giordano
      Pages 185-208
  4. Fuzzy Representations of Landscape Features

  5. Decision Making with GIS and Fuzzy Sets

    1. Ashley Morris, Piotr Jankowski
      Pages 275-298
    2. Vincent B. Robinson, Phil A. Graniero
      Pages 299-334
  6. Back Matter
    Pages 335-337

About this book


Over recent years, interest in using fuzzy sets approaches has grown across fields that use spatial information in geographic problems. Not only has there been considerable research on fuzzy sets in GIS that support geographic problem solving, but increasingly the uncertainties inherent in modeling geographic problems are addressed using soft-computing methods. This book focuses on research advances in approaches for incorporating explicit handling of uncertainty, especially by fuzzy sets, to address geographic problems. It has two aims: to stimulate research in the theory and application of fuzzy sets to spatial information management and geographic problem solving; and to highlight advances that have matured so much that geoscientists, computer scientists, geographers, et al. use fuzzy modeling. The book includes examples of the use of fuzzy sets in representational issues such as terrain features, landscape morphology, spatial extents and approaches for spatial interpolation, plus applications using fuzzy sets covering data mining, spatial decision making, ecological simulation, and reliability in GIS.


Complex geographic modeling systems Fuzzy Fuzzy Sets GIS Geographic Information Systems Problem solving Simulation Spatial Data calculus classification cluster analysis data mining fuzzy set information management modeling

Editors and affiliations

  • Frederick E. Petry
    • 1
  • Vincent B. Robinson
    • 2
  • Maria A. Cobb
    • 3
  1. 1.Dept. of Electrical Engineering and Computer ScienceTulane UniversityNew OrleansUSA
  2. 2.Dept. of GeographyUniversity of Toronto at MississaugaMississaugaCanada
  3. 3.Dept. of Computer Science and StatisticsUniversity of Southern MississippiHattiesburgUSA

Bibliographic information