2015 XVIII International Conference on Soft Computing and Measurements (SCM) 2015
DOI: 10.1109/scm.2015.7190396
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Decision-making by results of binary comparison at various a priori knowledge

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“…This program allows to calculate the probability characteristics, allowing for a decision-making procedure. An example of the front panel, describing the procedure for comparison is shown in the figure [3]. (1.0)) of the entire set of N selected cases a necessary part of N1 (for example, N1 = 1000), and is already among these N1 selected those that conform the constraints posed by the resulting value and the threshold level of N2 has a value exceeding the value of the difference between the probability of systematic errors, a certain threshold level are shown for three different maximum values of C = 1; 2; 3 correspond to figures 2a; 2b, 2c, respectively.…”
mentioning
confidence: 99%
“…This program allows to calculate the probability characteristics, allowing for a decision-making procedure. An example of the front panel, describing the procedure for comparison is shown in the figure [3]. (1.0)) of the entire set of N selected cases a necessary part of N1 (for example, N1 = 1000), and is already among these N1 selected those that conform the constraints posed by the resulting value and the threshold level of N2 has a value exceeding the value of the difference between the probability of systematic errors, a certain threshold level are shown for three different maximum values of C = 1; 2; 3 correspond to figures 2a; 2b, 2c, respectively.…”
mentioning
confidence: 99%