ISSN 1991-2927
 

ACP № 4 (62) 2020

Author: "Andrei Vladimirovich Zakharov"

Andrei Vladimirovich Zakharov, M.Akmullah Bashkir State Pedagogical University, Candidate of Physics and Mathematics; graduated from the Faculty of Natural Sciences of Ufa State Aviation Technical University; Associate Professor at Bashkir State University named after M. Akmulla; an author of articles and a monograph in the field of spatial data estimation. [e-mail: andrewzakhar@mail.ru]A. Zakharov,

Ruzana Razifovna Ramazanova, M.Akmullah Bashkir State Pedagogical University, graduated from the Institute of Professional Education and Information Technologies of Bashkir State University named after M.Akmulla; post-graduate student of Applied Informatics Department at the same university; an author of articles in the field of information systems control. [e-mail: ramazanova.ruzana@mail.ru]R. Ramazanova

Automated Rating Control System 000_7.pdf

А system consisting of a set of typical subsystems is considered. Each subsystem has a rating score which influences on subsystem support. The control technique includes the following steps: 1. Selection of a set of characteristics of subsystems (as well as their distribution by groups). 2. Determination of the influence of each characteristic on the increase of the competitiveness of subsystems. 3. Setting the significance of each group for a current period. The control cycle consists of the following three steps: 1. Setting the initial method for calculating subsystems ratings. 2. Ratings calculation for the current period 3. Correction of the parameters of subsystems ratings calculations for the next period. System control automation can be implemented in two directions: 1. Data collection and calculation of the subsystems ratings. 2. Support of the decision concerning the control of the global system. Decision support system are considered and described in terms of automation control. It uses database of subsystems and consists of two levels. The lower level of decision support system is used for rating computing according to the proposed technique. The upper level consists of two modules: the module of analytics and the module of decision support. Theoretical estimations of the control system are calculated; they include estimations of the subsystem cases with equal and unequal effectiveness of coefficients and asymptotical estimation of a leader subsystem. Moreover, the authors provide a routine calculation of coefficients effectiveness for the university departments.

System analysis, system rating control, decision-support system, rating system, system control estimation, asymptotical estimation of system behavior, control automation.

2016_ 1

Sections: Information systems

Subjects: Information systems.


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