The enhancement of the cell-based GIS analyses with fuzzy processing capabilities

Yanar T., Akyurek Z.

INFORMATION SCIENCES, vol.176, no.8, pp.1067-1085, 2006 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 176 Issue: 8
  • Publication Date: 2006
  • Doi Number: 10.1016/j.ins.2005.02.006
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.1067-1085
  • Keywords: fuzzy set theory, GIS, uncertainty, decision-making, classification, DECISION-MAKING, RISK, UNCERTAINTY, MODEL
  • Middle East Technical University Affiliated: Yes


In order to store and process natural phenomena in Geographic Information Systems (GIS) it is necessary to model the real world to form computational representation. Since classical set theory is used in conventional GIS softwares to model uncertain real world, the natural variability in the environmental phenomena cannot be modeled appropriately. Because, pervasive imprecision of the real world is unavoidably reduced to artificially precise spatial entities when the conventional crisp logic is used for modeling.