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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)

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A Practical Inference Method with Several Implicative Gradual Rules and a Fuzzy Input: One and Two Dimensions., , , and . FUZZ-IEEE, page 1-6. IEEE, (2007)A fast and flexible instance selection algorithm adapted to non-trivial database sizes., , , and . Intell. Data Anal., 19 (3): 631-658 (2015)Interpretable fuzzy inference systems for cooperation of expert knowledge and data in agricultural applications using FisPro., and . FUZZ-IEEE, page 1-8. IEEE, (2010)Parameter optimization of a fuzzy inference system using the FisPro open source software., and . FUZZ-IEEE, page 1-8. IEEE, (2012)A Distance Metric Suitable for Fuzzy Partitioning., , and . FUZZ-IEEE, page 264-267. IEEE, (2001)Integrating induced knowledge in an expert fuzzy-based system for intelligent motion analysis on ground robots., , , , , and . EUSFLAT Conf., page 1051-1056. Universidad Polytecnica de Catalunya, (2005)ProTraS: A probabilistic traversing sampling algorithm., and . Expert Syst. Appl., (2018)On the convergence of HLMS Algorithm., , , and . EUSFLAT Conf., page 817-821. Atlantis Press, (2011)Fuzzy partitions: A way to integrate expert knowledge into distance calculations., , and . Inf. Sci., (2013)KBCT: a knowledge extraction and representation tool for fuzzy logic based systems., , and . FUZZ-IEEE, page 989-994. IEEE, (2004)