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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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Abstract:
Fuzzy rules have been used to model complex human behavior in order to develop sophisticated industrial control systems. The use of fuzzy rules to create a behavioral model provides a quantitative basis for discussing the contribution of elements of the model to theories about the behavior. The application of a protocol and tool simplifies the development of a behavioral model from observational data. Extraction of a high level, linguistic behavioral model from the observational data is used to discover knowledge about the data. Tuning of the model is accomplished by parameter optimization through the adjustment of membership functions using the genetic fuzzy, self-adaptive system. A case study demonstrating the use of the protocol and tool is presented. In the study, a behavioral model is developed that integrates the analysis of the observational data with Social Network Analysis. The integrated behavioral model provides an effective platform for a quantitative analysis of the activities impacting behavior.  ; M.S.
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Keyword:
Artificial intelligence; Computer engineering; Computer science; Data mining; Fuzzy rule based system; Genetic algorithm; Genetic fuzzy systems; Human behavior models; Linguistic model; Social network analysis
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URL: http://hdl.handle.net/10342/3898
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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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