Fuzzy and Rough Set Approaches for Uncertainty in Spatial Data

Abstract

The management of uncertainty in databases is necessary for real world applications, especially for systems involving spatial data such as geographic information systems. Rough and fuzzy sets are important techniques that can be used in various ways for modeling uncertainty in data and in spatial relationships between data entities. This chapter discusses various approaches involving rough and fuzzy sets for spatial database applications such as GIS.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2010
Accession Number
ADA530497

Entities

People

  • Frederick E. Petry
  • Theresa Beaubouef

Organizations

  • United States Naval Research Laboratory

Tags

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Computer Science
  • Computers
  • Data Mining
  • Databases
  • Fuzzy Sets
  • Geographic Information Systems
  • Geographic Regions
  • Geography
  • Information Science
  • Information Systems
  • Landforms
  • New York
  • Remote Sensing
  • Set Theory
  • Topology
  • Two Dimensional

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Logistics and Supply Chain Management.