The dynamic model of managing the rating of a Russian Federation entity; Advances in Computer Science Research; Vol. 72 : Information technologies in Science, Management, Social sphere and Medicine (ITSMSSM 2017)

Manylion Llyfryddiaeth
Parent link:Advances in Computer Science Research
Vol. 72 : Information technologies in Science, Management, Social sphere and Medicine (ITSMSSM 2017).— 2017.— [P. 13-17]
Prif Awdur: Mitsel A. A. Artur Aleksandrovich
Awdur Corfforaethol: Национальный исследовательский Томский политехнический университет (ТПУ) Юргинский технологический институт (филиал) (ЮТИ) Кафедра информационных систем (ИС)
Awduron Eraill: German A. Anna, Grigorjeva M. V. Marina Viktorovna
Crynodeb:Title screen
The article presents the dynamic model of rating management. To build a management model, a rating assessment model must be previously built. We have constructed a regression model of rating evaluation which includes eight key indices that affect the rating level. On the basis of this model, a dynamic model of rating management for the Russian Federation entities has been formed. The model has been tested on the Tomsk Region rating. The article is of potential use for the Russian Federation entity authorities that may use it to assess the expected level.
Iaith:Saesneg
Cyhoeddwyd: 2017
Pynciau:
Mynediad Ar-lein:http://dx.doi.org/10.2991/itsmssm-17.2017.4
Fformat: Electronig Pennod Llyfr
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=657530
Disgrifiad
Crynodeb:Title screen
The article presents the dynamic model of rating management. To build a management model, a rating assessment model must be previously built. We have constructed a regression model of rating evaluation which includes eight key indices that affect the rating level. On the basis of this model, a dynamic model of rating management for the Russian Federation entities has been formed. The model has been tested on the Tomsk Region rating. The article is of potential use for the Russian Federation entity authorities that may use it to assess the expected level.
DOI:10.2991/itsmssm-17.2017.4