Y.V. Nikitenko - Ph. D. (Eng.), Lecturer, Military Educational and Scientific Center «Zhukovsky-Gagarin Air Force Academy» (Voronezh). E-mail: yunikson@yandex.ru V.A. Malyshev - Dr. Sc. (Eng.), Associate Professor, Deputy Head of Department, Military Educational and Scientific Center «Zhukovsky-Gagarin Air Force Academy» (Voronezh). E-mail: vamaleshev@list.ru A.V. Nagalin - Ph. D. (Eng.), Associate Professor, Deputy Head of Military Educational and Scientific Center «Zhukovsky-Gagarin Air Force Academy» (Voronezh)

The military system - a system, functioning for achievement one or several integers, referring to war as combat action, preparation to him and their provision. Considering that military system (MS) inherent characteristic systems, but its purpose is indicative of different risk presence of the sort in process of its operation, possible confirm that problem of management risk in MS is actual. At present main place in MS occupy military-technical systems (MTS). Being in itself, man-machine system, MTS contains the procedures a decision making, in which person, coming to a conclusion (PCC) is a commander (the chief, senior etc.) i.e. person. Consequently, process decision making in MS is in greater degree subjective function. Since operation any MS is connected with different sort risk: military, technogenical, ecological, social, economic and etc, that process of management them is connected with choice of the method of management risk, buildings of the algorithm to its realization for concrete situation and practical execution determined action. Appears the problem - what reduce to minimum negative influence human factor on correctness decision making. For this is expected optimization amount and quality to information, entering to PCC that allows to avoid from negative redundancy of information and reduce before possible limit level to a priori uncertainty. The main problem within the framework of this directions - a selection to necessary information from ensemble information signal that is to say realization to information filtering. For decision of this problem is designed method, allowing reduce to minimum influence subjective, the current expert estimation. Ac-cording to this method, in process decision making follows to select two intermediate problems: an estimation to current situation and shaping its dynamic model; a decomposition of the problem decision making (PDM) before level ensemble interconnected elementary PDM (EPDM) and taking the elementary decisions on base of the subject axioms base. Here under EPDM are understood problems, decision which obviously and is based on experience of their using. Hereinafter checking is produced for consensus result decisions EPDM and production of the general decision on base criterion maximum situational axioms. In process of the taking the elementary decisions is produced filtering to input information, as a result which are chosen information signals, promoting taking the correct decision (with positive weight), but signals, contributing indignations in process of the taking the correct decision (with negative weight) to be delete.

 

1. Bolshojj Rossijjskijj ehnciklopedicheskijj slovar. M.: BREH. 2003. 1437 s.
2. Ozhegov S.I. Slovar russkogo jazyka. M.: Gos. izd. inostr. i nac. slovarejj. 1953. 848 s.
3. Malyshev V.A.i dr. Metody i modeli proektirovanija kompleksov avtomatizirovannogo osvoenija ehrgotekhnicheskikh sistem: monografija. Voronezh: Nauchnaja kniga. 2006. 261 s.
4. Vetoshkin A.G. Nadezhnost tekhnicheskikh sistem i tekhnogennyjj risk. Penza: Izd-vo PGUAiS. 2003. 154 s.
5. Gaskarov D.V. Intellektualnye informacionnye sistemy. M.: Vyssh. shkola. 2003. 431 s.
6. Mikheev V.A., Verba V.S. Upravlenie riskami informacionnojj i funkcionalnojj bezopasnosti mnogofunkcionalnykh informacionnykh sistem integrirovannojj struktury oboronno-promyshlennogo kompleksa pri ehlektromagnitnykh vozdejjstvijakh // Radiotekhnika. 2014. № 5. S. 94−99.