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83
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EUSFLAT
2009
136views Fuzzy Logic» more  EUSFLAT 2009»
14 years 7 months ago
Fuzzy Continuous Evaluation in Training Systems Based on Virtual Reality
The approach of continuous evaluation is an important tool in the learning process. However, only recently it was applied in training based on virtual reality. This paper presents ...
Ronei Moraes, Liliane Machado
RSFDGRC
2011
Springer
287views Data Mining» more  RSFDGRC 2011»
14 years 14 days ago
Towards Faster Estimation of Statistics and ODEs Under Interval, P-Box, and Fuzzy Uncertainty: From Interval Computations to Rou
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
AFS
2011
49views more  AFS 2011»
13 years 9 months ago
Towards an (Even More) Natural Probabilistic Interpretation of Fuzzy Transforms (and of Fuzzy Modeling)
In many practical applications, it turns out to be useful to use the notion of fuzzy transform: once we have functions A1(x) ≥ 0, . . . , An ≥ 0, with n∑ i=1 Ai(x) = 1, we c...
Irina Perfilieva, Vladik Kreinovich
GECCO
2011
Springer
274views Optimization» more  GECCO 2011»
14 years 1 months ago
Fuzzy dynamical genetic programming in XCSF
—A number of representation schemes have been presented for use within Learning Classifier Systems, ranging from binary encodings to Neural Networks, and more recently Dynamical ...
Richard Preen, Larry Bull
72
Voted
FUZZIEEE
2007
IEEE
15 years 4 months ago
The Best Interval Representation of Fuzzy S-Implications and Automorphisms
— The aim of this work is to analyze interval fuzzy S-implications and interval automorphisms. Starting from any fuzzy S-implication, it is shown how to obtain an interval fuzzy ...
Benjamín C. Bedregal, Regivan H. Nunes Sant...