INFORMATION STRUCTURE ANALYSIS AND CONFIGURATION OF DECISION SUPPORT SYSTEM OF REGIONAL SITUATIONAL CENTERS 

Masloboev Andrey Vladimirovich, doctor of technical sciences, associate professor, leading research, Institute for Informatics and Mathematical Modeling, Kola Science Centre of the Russian Academy of Sciences (14 Fersmana street, Apatity, Murmansk region, Russia), E-mail: masloboev@iimm.ru
Tsygichko Vitaliy Nikolaevich, doctor of technical sciences, professor, chief researcher, Institute for System Analysis, Federal Research Center «Computer Science and Control of the Russian Academy of Sciences» (9 60-letiya Oktyabrya avenue, Moscow, Russia), E-mail: vtsygichko@inbox.ru 

004.051, 004.94, 519.81

10.21685/2307-4205-2020-2-8 

Background. The research is aimed at methods and tools engineering for management activity efficiency enhancement of regional situational centers in the context of security support of socio-economic system functioning and development.
Materials and methods. On the basis of joint use of entropy-based models and qualitative methods for efficiency assessment of management automation soft/hardware tools a comprehensive approach to configuration choice and quality estimation of decision support system of regional situational centers is proposed. Approach application allows determining composition and structure of decision support system of situational centers in respect to completeness support of situational awareness at the all management levels and subject to functional and legal requirements defined to situational control modes. Information structure analysis of security management in the situational centers is carried out.
Results and conclusions. Structural model of decisionmaking process is designed and analyzed. Implementation of model phases is considered. On the basis of that efficiency estimation criterion and problem statement of configuration rational choice of the management information support system based on appropriate criterion are proposed. Results application is represented by the example of situational center of Murmansk region. 

entropy-based approach, efficiency estimation, decision support system, model, situational center, control, regional security