UDC 520.18
DOI: 10.36871/2618-9976.2021.03.003
Authors
Spesivtsev Alexander Vasilievich
Doctor of Technical Sciences, Associate Professor, Leading Researcher, SaintPetersburg
Federal
Research Center of the Russian Academy of Sciences, Saint-Petersburg,
Russia
Lisitskiy Vladimir Vladimirovich
Candidate of Technical Sciences, Head of the Department of Military Space Academy named after
A.F. Mozhaysky, Saint-Petersburg,
Russia
Logunov Sergey Vladimirovich
Candidate of Technical Sciences, Associate Professor of Military Space Academy named after
A.F. Mozhaysky, Saint-Petersburg,
Russia
Martynov Anton Mikhailovich
Postgraduate Student of Military Space Academy named after A.F. Mozhaysky, Saint-Petersburg,
Russia
Abstract
When choosing the location of groundbased
optical surveillance
devices (NOSN), the problem arises of evaluating the suitability
of a particular area of terrain or choosing the best of a number
of considered ones, provided that the ability to perform professional
tasks with specified characteristics is quantified.
A method for solving this problem is proposed by constructing
a fuzzyprobability
model of a generalized (integral) indicator
of the quality of NOS placements based on the knowledge and
experience of experts. Such an indicator is determined by a systemically
confirmed set of seven linguistic variables included
in the factor space for constructing a fuzzy probability model
in the form of a nonlinear polynomial expression. At the same time,
the dependent variablethe
ability to perform the task with the
specified characteristicsindirectly
determines the degree of the
best placement of the NOS, taking into account its astroclimate.
Practical recommendations on the choice and justification of the
factor space are given, the main stages of constructing a fuzzy
probability model are shown, and the degree of adequacy of calculations
based on it to the actual ability to perform tasks with
specified characteristics, evaluated by independent experts,
for the locations of NOS in various geographical regions of the
Russian Federation.
Keywords
Astroclimate
Groundbased
optical observation device
Terrain area
Fuzzy probability model
Artificial Earth satellite
