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A Multi-Objective Genetic Algorithm for Tuning and Rule Selection to Obtain Accurate and Compact Linguistic Fuzzy Rule-Based Systems.

, , , and . International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 15 (5): 539-557 (2007)

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A Multi-Objective Genetic Algorithm for Tuning and Rule Selection to Obtain Accurate and Compact Linguistic Fuzzy Rule-Based Systems., , , and . International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 15 (5): 539-557 (2007)QAR-CIP-NSGA-II: A new multi-objective evolutionary algorithm to mine quantitative association rules., , , and . Inf. Sci., (2014)A consistency-based procedure to estimate missing pairwise preference values., , , , , and . Int. J. Intell. Syst., 23 (2): 155-175 (2008)Experimental Study on 164 Algorithms Available in Software Tools for Solving Standard Non-Linear Regression Problems., , , and . IEEE Access, (2019)A new fingram-based software tool for visual representation and analysis of fuzzy association rules., , and . FUZZ-IEEE, page 1-7. IEEE, (2013)Increasing fuzzy rules cooperation based on evolutionary adaptive inference systems., , , and . Int. J. Intell. Syst., 22 (9): 1035-1064 (2007)KEEL Data-Mining Software Tool: Data Set Repository, Integration of Algorithms and Experimental Analysis Framework., , , , and . J. Multiple Valued Log. Soft Comput., 17 (2-3): 255-287 (2011)NICGAR: A Niching Genetic Algorithm to mine a diverse set of interesting quantitative association rules., , , and . Inf. Sci., (2016)Improving fuzzy logic controllers obtained by experts: a case study in HVAC systems., , , and . Appl. Intell., 31 (1): 15-30 (2009)Local identification of prototypes for genetic learning of accurate TSK fuzzy rule-based systems., , , , and . Int. J. Intell. Syst., 22 (9): 909-941 (2007)