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Soft computing-based decision support tools for spatial data.

, , , and . Int. J. Comput. Intell. Syst., 6 (sup1): 18-33 (2013)

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Fuzzy Modeling of a Composite Agronomical Feature Using FisPro: The Case of Vine Vigor., , , and . IPMU (1), volume 442 of Communications in Computer and Information Science, page 127-137. Springer, (2014)Knowledge discovery for control purposes in food industry databases., and . Fuzzy Sets Syst., 122 (3): 487-497 (2001)Building an interpretable fuzzy rule base from data using Orthogonal Least Squares - Application to a depollution problem., , and . Fuzzy Sets Syst., 158 (18): 2078-2094 (2007)A decision support system using multi-source scientific data, an ontological approach and soft computing - application to eco-efficient biorefinery., , , , , , , , , and 1 other author(s). FUZZ-IEEE, page 249-256. IEEE, (2016)Using the OLS Algorithm to Build Interpretable Rule Bases: An Application to a Depollution Problem., , and . FUZZ-IEEE, page 1-6. IEEE, (2007)Practical use of fuzzy implicative gradual rules in knowledge representation and comparison with Mamdani rules., , , and . EUSFLAT Conf., page 967-972. Universidad Polytecnica de Catalunya, (2005)Soft computing-based decision support tools for spatial data., , , and . Int. J. Comput. Intell. Syst., 6 (sup1): 18-33 (2013)A decision support system for eco-efficient biorefinery process comparison using a semantic approach., , , , , , , , , and 1 other author(s). Comput. Electron. Agric., (2016)Systèmes d'inférence floue : collaboration expertise et données dans un environnement de modélisation intégrée à l'aide de FisPro., and . Rev. d'Intelligence Artif., 27 (4-5): 569-593 (2013)Ontology-Based Model for Food Transformation Processes - Application to Winemaking., , , , and . MTSR, volume 478 of Communications in Computer and Information Science, page 329-343. Springer, (2014)