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Generating Understandable and Accurate Fuzzy Rule-Based Systems in a Java Environment.

, and . WILF, volume 6857 of Lecture Notes in Computer Science, page 212-219. Springer, (2011)

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An Empirical Study on Interpretability Indexes through Multi-objective Evolutionary Algorithms., , and . WILF, volume 6857 of Lecture Notes in Computer Science, page 131-138. Springer, (2011)Multi-objective design of highly interpretable fuzzy rule-based classifiers with semantic cointension., , and . GEFS, page 1-8. IEEE, (2011)A Conceptual Framework for Understanding a Fuzzy System., and . IFSA/EUSFLAT Conf., page 119-124. (2009)Designing interpretable Hierarchical Fuzzy Systems.. FUZZ-IEEE, page 1-8. IEEE, (2018)Conditioned Monotonicity for Generalized Pre-Aggregations and Aggregations., , , , and . FUZZ-IEEE, page 1-8. IEEE, (2020)Fuzzy Systems Interpretability: What, Why and How.. Fuzzy Approaches for Soft Computing and Approximate Reasoning, volume 394 of Studies in Fuzziness and Soft Computing, Springer, (2021)Fuzzy charge controller for stand-alone photovoltaic systems., , , and . EUSFLAT Conf., page 160-163. De Montfort University, Leicester, UK, (2001)Genetic fuzzy systems. New developments., , , , and . Fuzzy Sets Syst., 141 (1): 1-3 (2004)Generating Understandable and Accurate Fuzzy Rule-Based Systems in a Java Environment., and . WILF, volume 6857 of Lecture Notes in Computer Science, page 212-219. Springer, (2011)Enhancing the fuzzy modeling tool GUAJE with a new module for fingrams-based analysis of fuzzy rule bases., , and . FUZZ-IEEE, page 1-8. IEEE, (2012)