Abstract
Fuzzy logic is a powerful interface between linguistic and numerical spaces. It allows the design of transparent models based upon linguistic rules. The FisPro open source software includes learning algorithms as well as a friendly java interface. In this paper, it is used to model a composite agronomical feature, the vine vigor. The system behavior is characterized by its numerical accuracy and analyzed according to the induced knowledge. Well known input output relationships are identified, but also some rules reflect local interactions.
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Coulon-Leroy, C., Charnomordic, B., Thiollet-Scholtus, M., Guillaume, S. (2014). Fuzzy Modeling of a Composite Agronomical Feature Using FisPro: The Case of Vine Vigor. In: Laurent, A., Strauss, O., Bouchon-Meunier, B., Yager, R.R. (eds) Information Processing and Management of Uncertainty in Knowledge-Based Systems. IPMU 2014. Communications in Computer and Information Science, vol 442. Springer, Cham. https://doi.org/10.1007/978-3-319-08795-5_14
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DOI: https://doi.org/10.1007/978-3-319-08795-5_14
Publisher Name: Springer, Cham
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