Soft computing-based decision support tools for spatial data

Outils d'aide à la décision à partir de données spatialisées basés sur le soft computing

Serge Guillaume (1) , Brigitte Charnomordic (2) , Bruno Tisseyre (1) , James Taylor (3)

1 UMR ITAP - Information – Technologies – Analyse Environnementale – Procédés Agricoles
2 MISTEA - Mathématiques, Informatique et STatistique pour l'Environnement et l'Agronomie
3 Dept. of Horticulture

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 FisPro 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.

Mots clés: COMPUTER SCIENCE; AGRONOMY; DECISION SUPPORT

Mots clés: GEOSTATISTIQUE; AGRONOMIE; GEOREFERENCEMENT; DONNEE SPATIALE; INFORMATIQUE; AIDE A LA DECISION

Domaines: Sciences de l'environnement

Serge Guillaume, Brigitte Charnomordic, Bruno Tisseyre, James Taylor. Soft computing-based decision support tools for spatial data. International Journal of Computational Intelligence Systems, 2013, 6 (Suppl 1), pp.18-33. ⟨10.1080/18756891.2013.818185⟩. ⟨hal-01146110⟩