- Francesco Camastra22,
- Angelo Ciaramella22,
- Valeria Giovannelli23,
- Matteo Lener23,
- Valentina Rastelli23,
- Salvatore Sposato22,
- Antonino Staiano22,
- Giovanni Staiano23 &
- …
- Alfredo Starace22
Part of the book series:Lecture Notes in Computer Science ((LNAI,volume 8256))
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Abstract
Aim of the paper is the application of a Learning Classifier System (LCS) to learn the inference rules in a Fuzzy Decision Support System (FDSS). The FDSS is used for the Environmental Risk Assessment (ERA) of the deliberate release of genetically modified plants. The evaluation process permits identifying potential impacts that can achieve one or more receptors through a set of migration paths. The risk assessment in the FDSS is obtained by using a Fuzzy Inference System performed using jFuzzyLogic library. For the human experts might be hard developing complex FISs. We propose to use a LCS for automatically learning the appropriate fuzzy rules from the questionnaires produced by notifiers, named Fuzzy Rule Learning System (FRLS). FRLS is based on a special kind of LCS, namely the eXtended Classifier System (XCS). The derived rules have been validated on real world cases by the human experts that are in charge of ERA.
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Authors and Affiliations
Dept. of Science and Technology, University of Naples “Parthenope”, Isola C4, Centro Direzionale, I-80143, Napoli, NA, Italy
Francesco Camastra, Angelo Ciaramella, Salvatore Sposato, Antonino Staiano & Alfredo Starace
Nature Protection Dept., Institute for Environmental Protection and Research (ISPRA), via v. Brancati 48, 00144, Roma, Italy
Valeria Giovannelli, Matteo Lener, Valentina Rastelli & Giovanni Staiano
- Francesco Camastra
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- Angelo Ciaramella
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- Valeria Giovannelli
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- Valentina Rastelli
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- Salvatore Sposato
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- Giovanni Staiano
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- Alfredo Starace
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Editors and Affiliations
DIBRIS, University of Genoa, Via Dodecaneso 35, 16146, Genoa, Italy
Francesco Masulli
Dept. of Informatics, Systems, and Communication, University of Milano Bicocca, Viale Sarca 336, 20126, Milan, Italy
Gabriella Pasi
Dept. of Information Systems, Iona College, 710 North Ave, 10801, New Rochelle, NY, USA
Ronald Yager
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Camastra, F.et al. (2013). Rule Learning in a Fuzzy Decision Support System for the Environmental Risk Assessment of GMOs. In: Masulli, F., Pasi, G., Yager, R. (eds) Fuzzy Logic and Applications. WILF 2013. Lecture Notes in Computer Science(), vol 8256. Springer, Cham. https://doi.org/10.1007/978-3-319-03200-9_23
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