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1IntroductionThis Special Issue is based on the extended versions of papers submitted to the International Workshop on Soft Computing and Advances in Intelligent Systems, SC-AIS-2021, held on October 25–30, 2021, in Mexico City and dedicated to the 100th Anniversary of Lotfi A. Zadeh’s Birth.The paper “A Fast Clustering Algorithm for Evolving Fuzzy Classifier Based on Samples Mean” proposes a new evolving fuzzy classifier, named evolving Fuzzy Mean Classifier (eFMC), with a low computational cost and without user-defined parameters. Experimental results and comparisons against alternative state-of-the-art evolving classifiers show that the eFMC is accurate and fast, especially in online and real-time environments.The authors of the paper “Genetic algorithm-based adaptive weighted fuzzy logic control (awFLC) for traction power control” propose an adaptive weighted fuzzy logic control (awFLC) method, which weights the inputs instead of the rules. The weighting of inputs performs communication between inputs, and the resultant weight value provides the mapping between inputs-outputs. The genetic algorithm searches for the optimal values for input weights and variable parameters. The simulation results showed that the proposed approach could be used more efficiently for traction control.The authors of the paper “Layer-specific Evaluation-based Hierarchical Fuzzy Failure Mode and Effect Analysis” propose a methodological approach
Journal of Intelligent & Fuzzy Systems – IOS Press
Published: Nov 11, 2022
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