International Journal of Computational Intelligence Systems

Volume 6, Issue sup1, January 1970, Pages 18 - 33

Soft computing-based decision support tools for spatial data

Authors
Serge Guillaume, Brigitte Charnomordic, Bruno Tisseyre, James Taylor
Corresponding Author
Serge Guillaume
Available Online 9 January 2017.
DOI
https://doi.org/10.1080/18756891.2013.818185How to use a DOI?
Keywords
Fuzzy, zone, learning, geostatistics, FisPro, GeoFIS, agronomy, environment
Abstract
In many fields, due to the increasing number of automatic sensors and devices, there is an emerging need to integrate georeferenced and temporal data into decision support tools. Geographic Information Systems (GIS) and Geostatistics lack some functionalities for modelling and reasoning using georeferenced data. Soft computing techniques and software suited to these needs may be useful to implement new functionalities and use them for modelling and decision making. This work presents an open source framework designed for that purpose. It is based upon open source toolboxes, and its design is inspired by the fuzzy software capabilities developed in for ordinary non-georeferenced data. Two real world applications in Agronomy are included, and some perspectives are given to meet the challenge of using soft computing for georeferenced data.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
6 - 100
Pages
18 - 33
Publication Date
2017/01
ISSN
1875-6883
DOI
https://doi.org/10.1080/18756891.2013.818185How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - JOUR
AU  - Serge Guillaume
AU  - Brigitte Charnomordic
AU  - Bruno Tisseyre
AU  - James Taylor
PY  - 2017
DA  - 2017/01
TI  - Soft computing-based decision support tools for spatial data
JO  - International Journal of Computational Intelligence Systems
SP  - 18
EP  - 33
VL  - 6
IS  - sup1
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2013.818185
DO  - https://doi.org/10.1080/18756891.2013.818185
ID  - Guillaume2017
ER  -