a method for defuzzication by weighted distance
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Nearest neighbor classification methods are a useful and a relatively straightforward to implement classification technique. However, despite such appeal, they still suffer from the curse of dimensionality. Additionally, the nature of the data sets may not be wholly applicable to
The successful placement of Laryngeal Mask Airway (LMA) Supreme in adults largely depends on right selection of its size. Most anesthesiologists determine the size of LMA according to patients' body weight, which does not always work well. An alternative method should be establis
In the paper, a new method for computing weighted distances for Dynamic Time Warping based speaker verification systems is described. Weighted distances use coefficients determined usually globally and this, of course, does not consider the phonetic content of the vocal pattern.
In this paper, we introduce the complex fuzzy ordered weighted distance (CFOWD) measure. It is a new measure that uses the main characteristics of the the orderedweighted averaging (OWA) operator and uncertain information represented as complex fuzzy values. This measure includes