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Computing with Words: Revisiting the Qualitative Scale.

, , , , , and . Int. J. Uncertain. Fuzziness Knowl. Based Syst., 26 (Supplement-2): 127-143 (2018)

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A Double Axis Classification of Interpretability Measures for Linguistic Fuzzy Rule-Based Systems., , and . WILF, volume 6857 of Lecture Notes in Computer Science, page 99-106. Springer, (2011)An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field., , , and . J. Informetrics, 5 (1): 146-166 (2011)A bibliometric study about the research based on hybridating the fuzzy logic field and the other computational intelligent techniques: A visual approach., , , and . Int. J. Hybrid Intell. Syst., 7 (1): 17-32 (2010)Why Linguistic Fuzzy Rule Based Classification Systems perform well in Big Data Applications?, , , and . Int. J. Comput. Intell. Syst., 10 (1): 1211-1225 (2017)A First Approach in Evolutionary Fuzzy Systems based on the lateral tuning of the linguistic labels for Big Data classification., , and . FUZZ-IEEE, page 1437-1444. IEEE, (2016)Applying Memetic algorithm with Improved L-SHADE and Local Search Pool for the 100-digit challenge on Single Objective Numerical Optimization., and . CEC, page 7-13. IEEE, (2019)Analysis among winners of different IEEE CEC competitions on real-parameters optimization: Is there always improvement?, , and . CEC, page 805-812. IEEE, (2017)Obtaining accurate TSK Fuzzy Rule-Based Systems by Multi-Objective Evolutionary Learning in high-dimensional regression problems., , , and . FUZZ-IEEE, page 1-7. IEEE, (2013)A case study on the application of instance selection techniques for Genetic Fuzzy Rule-Based Classifiers., , , , and . FUZZ-IEEE, page 1-8. IEEE, (2012)Genetic tuning on fuzzy systems based on the linguistic 2-tuples representation., and . FUZZ-IEEE, page 233-238. IEEE, (2004)