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    » Uncertainty measures for interval type-2 fuzzy sets
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    RSFDGRC
    2011
    Springer
    287views Data Mining» more  RSFDGRC 2011»
    Towards Faster Estimation of Statistics and ODEs Under Interval, P-Box, and Fuzzy Uncertainty: From Interval Computations to Rou
    12 years 10 months ago
    Towards Faster Estimation of Statistics and ODEs Under Interval, P-Box, and Fuzzy Uncertainty: From Interval Computations to Rou
    Download  www.cs.utep.edu
    Interval computations estimate the uncertainty of the result of data processing in situations in which we only know the upper bounds ∆ on the measurement errors. In interval comp...
    Vladik Kreinovich
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    EUSFLAT
    2009
    245views Fuzzy Logic» more  EUSFLAT 2009»
    Universal Approximation of a Class of Interval Type-2 Fuzzy Neural Networks Illustrated with the Case of Non-linear Identificati
    13 years 5 months ago
    Universal Approximation of a Class of Interval Type-2 Fuzzy Neural Networks Illustrated with the Case of Non-linear Identificati
    Download  www.eusflat.org
    Neural Networks (NN), Type-1 Fuzzy Logic Systems (T1FLS) and Interval Type-2 Fuzzy Logic Systems (IT2FLS) are universal approximators, they can approximate any non-linear function....
    Juan R. Castro, Oscar Castillo, Patricia Melin, An...
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    TFS
    2008
    116views more  TFS 2008»
    Corrections to "Aggregation Using the Linguistic Weighted Average and Interval Type-2 Fuzzy Sets"
    13 years 7 months ago
    Corrections to "Aggregation Using the Linguistic Weighted Average and Interval Type-2 Fuzzy Sets"
    Download  www-scf.usc.edu
    Dongrui Wu, Jerry M. Mendel
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    EAAI
    2006
    161views more  EAAI 2006»
    Genetic learning and performance evaluation of interval type-2 fuzzy logic controllers
    13 years 7 months ago
    Genetic learning and performance evaluation of interval type-2 fuzzy logic controllers
    Download  www-scf.usc.edu
    Type-2 fuzzy sets, which are characterized by membership functions (MFs) that are themselves fuzzy, have been attracting interest. This paper focuses on advancing the understandin...
    Dongrui Wu, Woei Wan Tan
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    ISCI
    2007
    130views more  ISCI 2007»
    Computing with words and its relationships with fuzzistics
    13 years 7 months ago
    Computing with words and its relationships with fuzzistics
    Download  sipi2b.usc.edu
    ct 9 Words mean different things to different people, and so are uncertain. We, therefore, need a fuzzy set model for a word 10 that has the potential to capture their uncertaint...
    Jerry M. Mendel
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