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The intelligent fusion methods are fuzzy logic, neural networks and genetic algorithms.
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One of the newest processes used for weighting parameters in the MCDM methods is Fuzzy Delphi Analytic Hierarchy Process (FDAHP).
Clustering the extracted features: Clustering method is fuzzy c-means and the number of clusters is about ¼ of the available trajectories.
His second album, "The Polyfuze Method," was fuzzier, druggier, bluesier, and better.
Also other soft computing methods are analyzed like fuzzy, neuro-fuzzy and artificial neural network approach.
Fuzzy time series methods are based on fuzzy set theory.
Two distinct methods are utilized for fuzzy modeling, the least squares and the gradient descent techniques.
Finally, the evaluation results of the two methods are obtained by fuzzy transformation and are consistent with the actual water flooding effect.
Various kinds of fuzzy regression models are introduced in the literature and many different methods are proposed to estimate fuzzy parameters of the models.
Two labeling methods are introduced: hard and fuzzy labeling.
Nevertheless, it should be noted that some applicative areas for fuzzy methods are especially most commonly addressed in published industrial research studies.
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