Design features of the information technology for the labor migrants group structure determination
DOI:
https://doi.org/10.15587/1729-4061.2015.47204Keywords:
labor migrants group structure determination, fuzzy c-means method, information technologyAbstract
The necessity of solving poorly structured and unstructured tasks in dealing with complex scientific and technical problems causes the need for developing relevant models, methods, and software. The task of the labor migrants group structure determination is faced by experts in the field of HIV/AIDS prevention and treatment in the process of investigating behavioral risks of the target group representatives.
In the paper, the verbal and mathematical formulation of the labor migrants group structure determination problem as the fuzzy clustering problem based on the assumption of a simultaneous object belonging to different clusters was performed. To solve the problem, it was proposed to use the adapted fuzzy c-means method based on the representation of non-numeric values by linguistic variables. This has allowed to find the distance between objects, the attribute vectors of which have both numeric and non-numeric components.
The design features of the information-analytical system for solving tasks were determined. The system of tasks that must be implemented in the information-analytical system was defined, grouping of mathematical models and methods that form the basis of an analytical system unit was performed. The structural-functional diagram of the relevant information-analytical system was developed.
Experimental verification of research results on the example of solving the problem of people grouping according to the labor migration direction has confirmed the efficiency of the developed technology and the possibility of its use to improve the decision making efficiency in the field of HIV/AIDS prevention and treatment in the study of behavioral risks of the target group representatives.
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