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Communication Dans Un Congrès Année : 2009

Complementary source information cooperation within a decision system for crop monitoring

Résumé

Multi-source information fusion usually deals with redundant sources; the goal is to aggregate decisions, or evidence which supports one or another class. Many frameworks are then available: OWA, fuzzy integrals, etc. In this paper we are interested in managing complementary information sources. The integration is done using a fuzzy rule base. The rules are generated using a fuzzy decision tree algorithm. The application consists in the design of a crop harvest monitoring system. The three information sources are a time series of satellite images, a crop growth model and expert knowledge. The results show that the system is ready to use in an operational way.
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Dates et versions

hal-00468747 , version 1 (31-03-2010)

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Mohammad El Hajj, Serge Guillaume, A. Bégué. Complementary source information cooperation within a decision system for crop monitoring. Proceedings of the joint IFSA-EUSFLAT, 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, Jul 2009, Lisbonne, Portugal. p. 1496 - p. 1501. ⟨hal-00468747⟩
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