IMPROVING THE TECHNOLOGY OF WORKING WITH EXTERNAL SOURCES OF INFORMATION FROM SOCIAL STRUCTURES IN DECISION SUPPORT SYSTEMS 

Lavresh Ivan Ivanovich, Candidate of engineering sciences, associate professor, Syktyvkar Forest Institute (branch) of Saint-Petersburg State Forest Technical University named after S. M. Kirov (39 Lenina street, Syktyvkar, Komi Republic, Russia), ilavresh@mail.ru
Trifonov Aleksandr Viktorovich, Head of laboratory, Syktyvkar Forest Institute (branch) of Saint-Petersburg State Forest Technical University named after S. M. Kirov (39 Lenina street, Syktyvkar, Komi Republic, Russia), Alex.34nov@yandex.ru

353.2 +004.021

Background. The object of the study is a decision support system for the state agency of a subject of the Russian Federation. The research subject is the processes of acquisition and processing of data from social structures at peer evaluation using crowdsourcing techniques. The purpose of the work is to improve the quality ofdecisions issued and information processing speed when applying expert evaluation in decision support systems.
Materials and methods. The article considers questions of improving the quality of decisions in decision support systems using crowdsourcing as a technology of expert evaluation by the example of a situational center at a regional administration. The methods included as follows: analysis of emissions of data categorical attributes, determination of resulting ranking of expert assessments, identification of a degree of misalignment of experts’ and target community’s interests.
Results. The article suggests possible ways to improve the quality of issued decisions and information processing speed at application of expert evaluation. The work describes a method for detection and screening of proposals, irrelevant to the stated domain. The authors have developed a procedure of assessing convergence of experts’ and target community’s opinions. A method for ranking the result of expert estimates is also described.
Conclusions. The proposed set of methods ensures maximum account of views of both the population and the professional community. This approach allows to improve the quality of planning and forecasting in public administration. Further studies may be devoted to development of technologies of interaction with social structures. For example, methods such as the axioms of Arrow may be used to determine the measures of coordination of interests of different groups.

strategic decisions, situational center, expert evaluation, crowdsourcing, ranking, anomaly detection, assessment of a degree of convergence.

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