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    JUCS
    2008
    160views more  JUCS 2008»
    Automatic Construction of Fuzzy Rule Bases: a further Investigation into two Alternative Inductive Approaches
    13 years 11 months ago
    Automatic Construction of Fuzzy Rule Bases: a further Investigation into two Alternative Inductive Approaches
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    : The definition of the Fuzzy Rule Base is one of the most important and difficult tasks when designing Fuzzy Systems. This paper discusses the results of two different hybrid meth...
    Marcos Evandro Cintra, Heloisa de Arruda Camargo, ...
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    EUSFLAT
    2003
    93views Fuzzy Logic» more  EUSFLAT 2003»
    The role and properties of rule relevancy in fuzzy inference process
    14 years 25 days ago
    The role and properties of rule relevancy in fuzzy inference process
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    Fuzzy inference process usually involves the use of fuzzy rule base consisting in several fuzzy rules. Overall output can be obtained by aggregation of outputs of all rules. To ob...
    Michal Sabo
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    EUSFLAT
    2003
    109views Fuzzy Logic» more  EUSFLAT 2003»
    Diagnosis of dermatological diseases by a neuro-fuzzy system
    14 years 25 days ago
    Diagnosis of dermatological diseases by a neuro-fuzzy system
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    In this paper we present the application of a particular neuro-fuzzy system, named KERNEL, to the problem of differential diagnosis of erythematosquamous diseases, which represen...
    Giovanna Castellano, Ciro Castiello, Anna Maria Fa...
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    EUSFLAT
    2003
    108views Fuzzy Logic» more  EUSFLAT 2003»
    On the design of metaheuristic algorithms using fuzzy rules
    14 years 25 days ago
    On the design of metaheuristic algorithms using fuzzy rules
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    We present here a co-operative multithread metaheuristic. Each thread employs a (possibly) different optimization strategy and they are controlled by a Coordinator process. A rel...
    David A. Pelta, Alejandro Sancho-Royo, José...
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    EUSFLAT
    2007
    129views Fuzzy Logic» more  EUSFLAT 2007»
    Advanced Inference in Fuzzy Systems by Rule Base Compression
    14 years 27 days ago
    Advanced Inference in Fuzzy Systems by Rule Base Compression
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    This paper describes a method for formal compression of fuzzy systems. This method compresses a fuzzy system with an arbitrarily large number of rules into a smaller fuzzy system ...
    Alexander Gegov, Neelamugilan Gobalakrishnan
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    IBERAMIA
    2004
    Springer
    208views Artificial Intelligence» more  IBERAMIA 2004»
    Applying Rough Sets Reduction Techniques to the Construction of a Fuzzy Rule Base for Case Based Reasoning
    14 years 4 months ago
    Applying Rough Sets Reduction Techniques to the Construction of a Fuzzy Rule Base for Case Based Reasoning
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    Early work on Case Based Reasoning reported in the literature shows the importance of soft computing techniques applied to different stages of the classical 4-step CBR life cycle. ...
    Florentino Fdez-Riverola, Fernando Díaz, Ju...
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    ECSQARU
    2005
    Springer
    138views Automated Reasoning» more  ECSQARU 2005»
    Generating Fuzzy Models from Deep Knowledge: Robustness and Interpretability Issues
    14 years 5 months ago
    Generating Fuzzy Models from Deep Knowledge: Robustness and Interpretability Issues
    Download  www.imati.cnr.it
    The most problematic and challenging issues in fuzzy modeling of nonlinear system dynamics deal with robustness and interpretability. Traditional data-driven approaches, especially...
    Raffaella Guglielmann, Liliana Ironi
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    FUZZIEEE
    2007
    IEEE
    217views Fuzzy Logic» more  FUZZIEEE 2007»
    Using the OLS Algorithm to Build Interpretable Rule Bases: An Application to a Depollution Problem
    14 years 5 months ago
    Using the OLS Algorithm to Build Interpretable Rule Bases: An Application to a Depollution Problem
    Download  www.irit.fr
    — One of the main advantages of fuzzy modeling is the ability to yield interpretable results. Amongst these modeling methods, the OLS algorithm is a mathematically robust techniq...
    Sébastien Destercke, Serge Guillaume, Brigi...
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    ICPR
    2008
    IEEE
    185views Computer Vision» more  ICPR 2008»
    Fuzzy rule selection using Iterative Rule Learning for speech data classification
    15 years 19 days ago
    Fuzzy rule selection using Iterative Rule Learning for speech data classification
    Download  www3.ntu.edu.sg
    Fuzzy rule base systems have been successfully used for pattern classification. These systems focus on generating a rule-base from numerical input data. The resulting rule-base ca...
    Bin Ma, Chng Eng Siong, Haizhou Li, Omid Dehzangi
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