1 research outputs found
THE APPLICATION OF FUZZY SETS THEORY IN THE METHODOLOGICAL APPROACH TO ASSESSING PERSONNEL RISKS OF AN ENTERPRISE
The main idea of this paper is the substantiation of the methodological approach to the assessment
of personnel risks of enterprises based on the application of the fuzzy logic apparatus in order to
identify the problems of personnel risk management and provide appropriate recommendations for
their solution. The methodological basis of the study is the classic provisions and fundamental works
of foreign and domestic scientists, statistical data, the results of our research into the problems of
assessing personnel risks of enterprises. The methods of fuzzy set theory, comparative analysis,
scientific abstraction, generalization of scientific experience of modern theoretical research, systemcomplex approach were used. The study proposed a methodological approach to assessing the level
of personnel risks of an enterprise; numerical experiments were conducted on the basis of a group of
construction equipment manufacturers. Analysis of the results of assessing the level of personnel risks
of enterprises made it possible to identify the problems of managing personnel risks at enterprises
Statement of a mathematical problem: the work considers hierarchical fuzzy data, namely: four
groups of indicators for assessing the level of personnel risks (quantitative composition β F1, state
of qualifications and intellectual potential β F2, staff turnover β F3, motivational system β F4), each
of the indicators has a different number of fuzzy coefficients (there are twelve of them in the current
work β vi
, i=1Γ·12). Indicators are functions of fuzzy coefficients: F1 = r(v1, v2, v3); F2 = g(v4,v5, v6, v7);
F3 = h(v8, v9, v10,); F4=q(v11, v12). As an output variable, there is a functional β an integrated indicator
Int = f(F1, F2, F3, F4) of the personnel risk level, which, in turn, is also a fuzzy value. Here, the functions
r, g, h, q, f are unknown functions of the given variables. We have expert evaluations of the change
in all input data; as a rule, they vary within three terms: Low (I), Medium (G), High (E). Formalized
information on each variable can be written as , then for a group of indicators we
have: . Using a fuzzy system and performing calculations with its help requires the
system to have the following structural elements: membership functions of input and output variables,
a rule base, and an output mechanism. These structural elements are the components that will be built
when designing a fuzzy system.
The built mathematical model and the method of its formalization on the basis of FST make it
possible to estimate the level of personnel risk at the enterprise, which enables further substantiation of
a set of measures to increase the efficiency of its use. The constructed system of fuzzy logical inference
can be considered intelligent as it uses elements of computational intelligence, in particular, the theory
of fuzzy sets.
The proposed methodological approach to assessing the level of personnel risks of enterprises
based on the apparatus of fuzzy logic allows, in contrast to existing ones, to integrate the consideration
of both qualitative and quantitative indicators when assessing the level of personnel risks and personnel
movement indicators and to significantly increase the efficiency of decision-making under conditions
of uncertainty and reduce costs in the event of adverse situations