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Soft computing and advances in intelligent systems

Soft computing and advances in intelligent systems 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 http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Intelligent & Fuzzy Systems IOS Press

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Publisher
IOS Press
Copyright
Copyright © 2022 © 2022 – IOS Press. All rights reserved
ISSN
1064-1246
eISSN
1875-8967
DOI
10.3233/jifs-219322
Publisher site
See Article on Publisher Site

Abstract

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

Journal of Intelligent & Fuzzy SystemsIOS Press

Published: Nov 11, 2022

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