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    2006
    86views more  FSS 2006»
    An omission approach for detecting outliers in fuzzy regression models
    13 years 7 months ago
    An omission approach for detecting outliers in fuzzy regression models
    Download  www2.math.cycu.edu.tw
    Since Tanaka et al. in 1982 proposed a study in linear regression with a fuzzy model, fuzzy regression analysis has been widely studied and applied in various areas. However, Tana...
    Wen-Liang Hung, Miin-Shen Yang
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    FSS
    2006
    107views more  FSS 2006»
    Parametric indices of fuzziness for automated image enhancement
    13 years 7 months ago
    Parametric indices of fuzziness for automated image enhancement
    Download  perso.telecom-paristech.fr
    This paper presents an automated fuzziness-driven algorithm for image enhancement.A class of parametric indices of fuzziness is introduced, which serves as the optimization criter...
    Ioannis K. Vlachos, George D. Sergiadis
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    FSS
    2007
    167views more  FSS 2007»
    Fuzzy fusion for skin detection
    13 years 7 months ago
    Fuzzy fusion for skin detection
    Download  agami.die.uchile.cl
    Complex image processing tasks rarely succeed through the application of just one methodology. The implementation of different methodologies, whose treatment of the input images i...
    Aureli Soria-Frisch, Rodrigo Verschae, Aitor Olano
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    FSS
    2007
    102views more  FSS 2007»
    Extraction of fuzzy rules from support vector machines
    13 years 7 months ago
    Extraction of fuzzy rules from support vector machines
    Download  sci2s.ugr.es
    The relationship between support vector machines (SVMs) and Takagi–Sugeno–Kang (TSK) fuzzy systems is shown. An exact representation of SVMs as TSK fuzzy systems is given for ...
    Juan Luis Castro, L. D. Flores-Hidalgo, Carlos Jav...
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    FSS
    2007
    117views more  FSS 2007»
    Multiple regression with fuzzy data
    13 years 7 months ago
    Multiple regression with fuzzy data
    Download  www.nottingham.edu.my
    In this paper, we propose an iterative algorithm for multiple regression with fuzzy variables.While using the standard least-squares criterion as a performance index, we pose the ...
    Andrzej Bargiela, Witold Pedrycz, Tomoharu Nakashi...
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