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K=1.1–1.3 – high;
K>1.4 – the best optimum.
When developing a new product, the selection committee makes one of the
following decisions:
- to recommend a product for mass production without revision;
- to finish a pattern for certain single indicators.
Group indicator K j group is determined by summing of appropriate single
indicators:
N
,
К j group   m i  q i (1.2)
 і 1
where m – ponderability coefficient of the i-th indicator – the average value of the
i
S
ponderability coefficients of the i-th indicator for all the experts, and  m i 1 .

 i 1
Ponderability coefficients m are calculated by the methods of mathematical
i
statistics;
q – relative indicator of the process (product) that is estimated;
i
S – the number of indicators in the group.
The relative indicator q is determined by comparing indicators what are
i
considered with basic options:
X B
q  i , q  i , (1.3)
i
B i i X i
where X , B – mean-arithmetical value of new and basic indicators.
i
i
From the last two formulas use the one that gives the improvement of safety
(above or below the baseline). In particular, when increased indicators lead to
reduce of safety level, should to apply the second formula.
Arithmetic mean of the indicator it is determined from the correlation:
n
 C i

X  i 1 , (1.4)
n
where С – expert estimation of indicator in points;
і
n – total number of data (estimates).
Each indicator is estimated by experts on a scale from 0 to 10, which is
divided into four intervals (classes):
10-9 (mean 9.5) – excellent;
8-6 (mean 7) – good;
5-3 (mean 4) – satisfactorily;
2-0 (mean 1) – unsatisfactorily.
The number of estimates M is determined for each interval (for each class
with the mean value), the total number – ΣM = n. Auxiliary mean value (averaging
i
by classes of estimates) is given by:

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