4. Results

The developed evaluation system was applied for experimental research into evaluation of the vocational aptitude of the transport-technological machine operators performed in the group of 100 testees at the Interregional Forestry Resource Center (Yoshkar-Ola, Russia).

First of all, the main operator functions were singled out, Figure 8.

Then, according to the developed methodology, using qualification criteria, the experts identified PIQs, divided them into groups, and represented their correlation with a set of the developed and known ATs (psychophysiological tests), Figure 9.

Figure 8. Correlation structure of PIQs and ATs.

variables and the transfer of the found membership degrees to the fussy inference mechanism of the next hierarchical level, and (ii) the procedure of defuzzification of the results with the aim to

This can assure equivalency of fuzzy sets before and after the procedures of defuzzification and fuzzification of the intermediate variables transferred to the next hierarchical level.

On the other side, this allows obtaining crisp values in the output of the first hierarchical level

At the second stage, PIQi is used as a linguistic variable, it is preset by a range of five elements,

ð Þ ai � �

The input for the third stage of evaluation is the result of the second stage output. The fuzzy

ð Þ zi � �

Defuzzification makes it possible to transform the obtained fuzzy set into a crisp value by

The formation of rule bases for the certain operator's activity is performed by using special methods of expert assessment for each case. It allows transferring the general model to the

The developed evaluation system was applied for experimental research into evaluation of the vocational aptitude of the transport-technological machine operators performed in the group

Then, according to the developed methodology, using qualification criteria, the experts identified PIQs, divided them into groups, and represented their correlation with a set of the

of 100 testees at the Interregional Forestry Resource Center (Yoshkar-Ola, Russia).

First of all, the main operator functions were singled out, Figure 8.

developed and known ATs (psychophysiological tests), Figure 9.

n o

; zi ∈ Z

n o

; ai ∈ A

i ¼ 1, …, 12, (11)

ð Þ ai is the input value degree of

i ¼ 1, 2, 3, (12)

ð Þ zi is the input value

for construction of an individual professional portrait of a testee and their PIQs.

construct an individual professional portrait of a testee and their PIQs.

PIQi ¼ ai; μPIQi

GPIQi ¼ zi; μGPIQi

where zi is the input variable—the Grouped PIQ (GPIQi) values, μGPIQi

where ai is the input variable—the PIQ (PIQi) values, μPIQi

membership in this fuzzy set.

140 Management of Information Systems

sets in this case are (Eq. (12)):

means of the known methods.

4. Results

degree of membership in this fuzzy set.

specific spheres of the operator's work.

and the fuzzy variables are preset as follows (Eq. (11)):


Figure 9. Correlation structure of PIQs and ATs.

The research into the vocational aptitude included the cycles of data base compiling and the development of a rule base of the informational support system for decision-making, the procedures of assessment testing and the procedure of the analysis and evaluation of the vocational aptitude. The input of the transport-technological machine operator model comprised of individual AT assessment grades of each testee obtained at the stage of the psychophysiological tests. The vocational aptitude value of each testee expressed in percents and

Figure 10. Individual portraits.

the individual professional portrait were obtained at the evaluation system output after defuzzification.

So, for example, for the quality of PIQ1, such tests as AT5, AT6, AT9, and AT13 are responsible. That is, the best result ("excellent") at the output of these tests: If (x<sup>5</sup> is "excellent") and (x<sup>6</sup> is "excellent") and (x<sup>9</sup> is "excellent") and (x<sup>13</sup> is "excellent"), then (a<sup>1</sup> is "excellent").

The constructed individual portrait provides an opportunity to make a conclusion about the PIQ development level; it may be used both for training the operational personnel and for adaptive adjustment of informational and technical components of ergatic control systems to the user's abilities taking into account their current functional state, Figure 10.

The experiments showed the effectiveness of the developed methods for evaluation of the vocational aptitude within the occupational selection for operators of transport-technological machines. It was found out that application of the decision-making support system for enrollment into student groups specializing in operation of transport-technological machines helped reduce the dropout of students during the professional training by 1.5–2 times; it proves the effectiveness of the developed decision-making support system.
