Spatio-Temporal Prediction by Means of a Fuzzy Rule-based Approach

Author

De Oliveira, Rubia Eliza Schultz ; Centeno, Tania Mezzadri ; Delgado, Myriam Regattieri

Author_Institution

Fed. Univ. of Technol. -Parana, Curitiba

fYear

0

fDate

0-0 0

Firstpage

1271

Lastpage

1278

Abstract

Geographical information is a powerful tool for decision-making in Territorial-Physical Planning. By its turn, fuzzy systems seem to be an interesting technique to deal with imprecision and uncertainty in the large amount of heterogeneous data available in geographical information systems (GIS). This paper aims to incorporate intelligent mechanisms in GIS by means of fuzzy rule-based systems. The proposal here is to present a spatio-temporal prediction method of forestry evolution for a sequence of satellite images through the use of fuzzy inference systems.

Keywords

decision making; fuzzy reasoning; fuzzy set theory; fuzzy systems; geographic information systems; geophysical signal processing; image sequences; prediction theory; spatiotemporal phenomena; decision-making; forestry evolution; fuzzy inference system; fuzzy rule-based system; geographical information systems; intelligent mechanism; satellite image sequence; spatio-temporal prediction method; territorial-physical planning; Decision making; Forestry; Fuzzy systems; Geographic Information Systems; Information systems; Knowledge based systems; Power system planning; Prediction methods; Proposals; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 2006 IEEE International Conference on

Conference_Location

Vancouver, BC

Print_ISBN

0-7803-9488-7

Type

conf

DOI

10.1109/FUZZY.2006.1681873

Filename

1681873