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    » Goal-Directed Methods for Fuzzy Logics
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    BIRTHDAY
    2005
    Springer
    103views Applied Computing» more  BIRTHDAY 2005»
    Goal-Directed Methods for Fuzzy Logics
    15 years 5 months ago
    Goal-Directed Methods for Fuzzy Logics
    Download  sitemason.vanderbilt.edu
    George Metcalfe, Nicola Olivetti
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    EUSFLAT
    2009
    140views Fuzzy Logic» more  EUSFLAT 2009»
    The Collapsing Method: Does the Direction of Collapse Affect Accuracy?
    14 years 10 months ago
    The Collapsing Method: Does the Direction of Collapse Affect Accuracy?
    Download  www.cci.dmu.ac.uk
    Sarah Greenfield, Francisco Chiclana, Robert John
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    FTML
    2011
    351views Fuzzy Logic» more  FTML 2011»
    Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
    13 years 11 months ago
    Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
    Download  www.stanford.edu
    Stephen Boyd, Neal Parikh, Eric Chu, Borja Peleato...
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    EUSFLAT
    2009
    137views Fuzzy Logic» more  EUSFLAT 2009»
    Novel Methods for the Design of General Type-2 Fuzzy Sets based on Device Characteristics and Linguistic Labels Surveys
    14 years 10 months ago
    Novel Methods for the Design of General Type-2 Fuzzy Sets based on Device Characteristics and Linguistic Labels Surveys
    Download  www.eusflat.org
    Fuzzy Logic Systems are widely recognized to be successful at modelling uncertainty in a large variety of applications. While recently interval type-2 fuzzy logic has been credited...
    Christian Wagner, Hani Hagras
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    EUSFLAT
    2009
    679views Fuzzy Logic» more  EUSFLAT 2009»
    Combining Wavelets and Computational Intelligence Methods with Applications on Multi-class Classification Datasets
    14 years 10 months ago
    Combining Wavelets and Computational Intelligence Methods with Applications on Multi-class Classification Datasets
    Download  www.eusflat.org
    In this paper, we propose a novel algorithm for wavelet feature extraction as input to a supervised Multi-Class Classifier to improve classification performance. In particular, to ...
    Carlos Campos Bracho
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