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Development of Machine Learning Techniques for Diabetic Retinopathy Risk Estimation
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In: TDX (Tesis Doctorals en Xarxa) (2020)
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Regrouping Attributes in Fuzzy Inference Systems ; Apprentissage par Regroupement d'Attributs dans les Systèmes d'Inférence Floue
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In: https://hal.archives-ouvertes.fr/tel-03181242 ; Apprentissage [cs.LG]. Université de Tunis El Manar, 2019. Français (2019)
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Modeling a High Concentrator Photovoltaic Module Using Fuzzy Rule-Based Systems
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In: Energies ; Volume 12 ; Issue 3 (2019)
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Attributes regrouping in Fuzzy Rule Based Classification Systems: an intra-classes approach
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In: In the 15th ACS/IEEE International Conference on Computer Systems and Applications AICCSA 2018 ; https://hal.archives-ouvertes.fr/hal-02290131 ; In the 15th ACS/IEEE International Conference on Computer Systems and Applications AICCSA 2018, Oct 2018, Aqaba, Jordan. ⟨10.1109/AICCSA.2018.8612802⟩ (2018)
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Why Linguistic Fuzzy Rule Based Classification Systems perform well in Big Data Applications?
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Nuevas propuestas en el ámbito de los operadores adaptativos para Sistemas Difusos Lingüísticos Evolutivos Multiobjetivo
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A MapReduce Approach to Address Big Data Classification Problems Based on the Fusion of Linguistic Fuzzy Rules
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Enhancing multi-class classification in FARC-HD fuzzy classifier: On the synergy between n-dimensional overlap functions and decomposition strategies
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IVTURS: a linguistic fuzzy rule-based classification system based on a new Interval-Valued fuzzy reasoning method with TUning and Rule Selection
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A Protocol and Tool for Developing a Descriptive Behavioral Model
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IIVFDT: Ignorance Functions based Interval-Valued Fuzzy Decision Tree with Genetic Tuning
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Boosting of fuzzy rules with low quality data
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In: http://sci2s.ugr.es/publications/ficheros/JMVLSC2011.pdf (2011)
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A Genetic Tuning to Improve the Performance of Fuzzy Rule-Based Classification Systems with Interval-Valued Fuzzy Sets: Degree of Ignorance and Lateral Position
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Improving the Performance of Fuzzy Rule-Based Classification Systems with Interval-Valued Fuzzy Sets and Genetic Amplitude Tuning
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www.elsevier.com/locate/fss Genetic learning of fuzzy rules based on low quality data
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In: http://sci2s.ugr.es/gfs/pdf/(2009c)_Sanchez.pdf (2009)
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An analysis of the rule weights and fuzzy reasoning methods for linguistic rule based classification systems applied to problems with highly imbalanced data sets
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In: http://sci2s.ugr.es/keel/pdf/keel/congreso/2007 - Fernandez - Wilf - FRBCS High Imbalanced.pdf (2007)
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Cooperación entre sistemas de inferencia, métodos de defuzzificación y aprendizaje de sistemas difusos lingüísticos
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Fuzzy Logic Based Decision Support Systems
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In: http://www.eusflat.org/publications/proceedings/EUSFLAT_2001/papers/305_Rommelfanger.pdf (2001)
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Analysis and Guidelines to Obtain a Good Uniform Fuzzy Partition Granularity for Fuzzy Rule-Based Systems using Simulated Annealing
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In: ftp://decsai.ugr.es/pub/arai/tech_rep/ga-fl/tr-99116.ps.Z (2000)
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Hierarchical Knowledge Bases for Fuzzy Rule-Based Systems
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In: ftp://decsai.ugr.es/pub/arai/tech_rep/ga-fl/con/ipmu00-8.ps.Z (2000)
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