
В данной статье представлены модели, описывающие информационно функ-циональные связи между объектами и субъектами налоговой системы и на-логовой информационной системы, с использованием аппарата графа и теории множеств и ростовского языка теории алгоритмов и программ. Подоб-ные алгоритмы позволяют грамотно поставить задачу на автоматизацию работ налоговой системы и налоговой информационной системы
This article presents a model describing the functional relationships between information objects and subjects of the tax system and tax information system , using the apparatus of the graph and set theory and the theory of Rostov language algorithms and programs . These algorithms allow skillfully put the problem in the automation of the tax system and the tax information system.
НАЛОГОВАЯ ИНФОРМАЦИОННАЯ СИСТЕМА,НАЛОГОВОЕ НАЧИСЛЕНИЕ,НАЛОГОВЫЙ УЧЕТ,АВТОМАТИЗИРОВАННОЕ РАБОЧЕЕ МЕСТО,TAX INFORMATION SYSTEM,TAX PAYMENTS,TAX ACCOUNTING,WORKSTATION
НАЛОГОВАЯ ИНФОРМАЦИОННАЯ СИСТЕМА,НАЛОГОВОЕ НАЧИСЛЕНИЕ,НАЛОГОВЫЙ УЧЕТ,АВТОМАТИЗИРОВАННОЕ РАБОЧЕЕ МЕСТО,TAX INFORMATION SYSTEM,TAX PAYMENTS,TAX ACCOUNTING,WORKSTATION
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
