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International Journal of Computational Intelligence Systems Volume 5, 2012 - Issue 2: Special Issue on Evolutionary Fuzzy Systems
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Original Articles

An Efficient Inductive Genetic Learning Algorithm for Fuzzy Relational Rules

Antonio González Departamento de Ciencias de la Computación e Inteligencia Artificial, Universidad de Granada, 18071, Granada, SpainCorrespondence[email protected]
,
Raúl Pérez Departamento de Ciencias de la Computación e Inteligencia Artificial, Universidad de Granada, 18071, Granada, Spain
,
Yoel Caises Departamento de Ciencias de la Computación e Inteligencia Artificial, Universidad de Granada, 18071, Granada, Spain
&
Enrique Leyva Departamento de Ciencias de la Computación e Inteligencia Artificial, Universidad de Granada, 18071, Granada, Spain
Pages 212-230 | Received 29 Oct 2010, Accepted 01 Jun 2011, Published online: 23 Apr 2012

Citations (11)

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Mainaz Faridi, Seema Verma & Saurabh Mukherjee. (2018) A novel algorithm of weighted fuzzy spatial association rule mining (WFSARM) for wasteland reclamation. Journal of Information and Optimization Sciences 39:1, pages 195-211.
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David García, Antonio González & Raúl Pérez. (2014) Overview of the SLAVE learning algorithm: A review of its evolution and prospects. International Journal of Computational Intelligence Systems 7:6, pages 1194-1221.
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Articles from other publishers (9)

Régis Pierrard, Jean-Philippe Poli & Céline Hudelot. (2021) Spatial relation learning for explainable image classification and annotation in critical applications. Artificial Intelligence 292, pages 103434.
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Juan Carlos Gamez-Granados, Jose Manuel Soto-Hidalgo, Giovanni Acampora, Antonio Gonzalez & Raul Perez. (2019) A software implementation of the fuzzy rule learning algorithm NSLVOrd for ordinal classification into KEEL. A software implementation of the fuzzy rule learning algorithm NSLVOrd for ordinal classification into KEEL.
Regis Pierrard, Jean-Philippe Poli & Celine Hudelot. (2018) Learning Fuzzy Relations and Properties for Explainable Artificial Intelligence. Learning Fuzzy Relations and Properties for Explainable Artificial Intelligence.
Nur Fazliana Rahim, Mahmod Othman, Rajalingam Sokkalingam & Evizal Abdul Kadir. (2018) Forecasting Crude Palm Oil Prices Using Fuzzy Rule-Based Time Series Method. IEEE Access 6, pages 32216-32224.
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A. E. Yankovskaya, I. V. Gorbunov & I. A. Hodashinsky. (2017) Tradeoff search methods between interpretability and accuracy of the identification fuzzy systems based on rules. Pattern Recognition and Image Analysis 27:2, pages 243-265.
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Keshav Dahal, Khaled Almejalli, M. Alamgir Hossain & Wenbing Chen. (2015) GA-based learning for rule identification in fuzzy neural networks. Applied Soft Computing 35, pages 605-617.
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Shiliang Luo, Lianglun Cheng, Bin Ren & Quanmin Zhu. (2014) An Improved Intelligent Ant Colony Algorithm for the Reliability Optimization Problem in Cyber-Physical Systems. Journal of Software 9:1.
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Yusuke Nojima & Hisao Ishibuchi. (2013) Multiobjective genetic fuzzy rule selection with fuzzy relational rules. Multiobjective genetic fuzzy rule selection with fuzzy relational rules.
DAVID GARCIA, ANTONIO GONZALEZ & RAUL PEREZ. (2012) A FILTER PROPOSAL FOR INCLUDING FEATURE CONSTRUCTION IN A GENETIC LEARNING ALGORITHM. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 20:supp02, pages 31-49.
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