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Communication dans un congrès

Interpretable fuzzy inference systems for cooperation of expert knowledge and data in agricultural applications using FisPro

Abstract : Fuzzy inference systems (FIS) can either be designed from expert knowledge or learnt from data. The main interest of using FIS is their interpretability. An open source software called FisPro has been designed to answer precisely the needs of interpretable FIS design and learning. This work presents FisPro and illustrates through three real world applications how to cope with the different types of information while preserving interpretability, whatever the respective contributions of expertise and data in the FIS design.
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Communication dans un congrès
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https://hal.inrae.fr/hal-02757890
Déposant : Migration Prodinra <>
Soumis le : jeudi 4 juin 2020 - 02:47:21
Dernière modification le : dimanche 25 octobre 2020 - 07:07:03

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Serge Guillaume, Brigitte Charnomordic. Interpretable fuzzy inference systems for cooperation of expert knowledge and data in agricultural applications using FisPro. WCCI 2010 : IEEE World Congress on Computational Intelligence, Jul 2010, Barcelone, Spain. ⟨10.1109/FUZZY.2010.5584673⟩. ⟨hal-02757890⟩

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