N. Mirshekari

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Fuzzy Inference Systems (FIS) are much considerable due to their interpretability and uncertainty factors. Hence, Fuzzy Rule-Based Classifier Systems (FRBCS) are widely investigated in aspects of construction and parameter learning. Also, decision trees are recursive structures which are not only simple and accurate, but also are fast in classification due(More)
One of the most important problems of the nearest neighbor and related classifiers is the distance measure. The distance measure is the fundamental part to compute the neighbors of a test instance. Using the nearest neighbors as the training instances of another classifier is a usual form of localizing a classifier such as SVM. In this paper, a method is(More)
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