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Задачи распознавания ситуаций в ERP системах

Authors: Kovalenko, A.; Smirnov, A.; Kovalenko, A.;

Задачи распознавания ситуаций в ERP системах

Abstract

Рассмотрена актуальность совершенствования и трудности создания ERP систем и методов их разработки. Рассмотрены особенности разработки специального математического и программного обеспечения реализующей стратегию ERP системы, показан эффективных способов формализованного описания классов распознаваемых ситуаций в виде функций принадлежности, соответствующих областей пространства признаков. Розглянуто актуальність вдосконалення і труднощі створення ERP систем і методів їх розробки. Розглянуто особливості розробки спеціального математичного та програмного забезпечення яке реалізує стратегію ERP системи, показаний ефективних способів формалізованого опису класів розпізнаваних ситуацій у вигляді функцій приналежності відповідних областей простору ознак. We consider improving the relevance and difficulty of establishing ERP systems and methods of their development. The features of the development of special mathematical and software implements strategy ERP system shows effective ways formalized description of the classes of recognizable situations in the form of membership functions corresponding regions of the feature space.

Keywords

ERP system, задачі розпізнавання ситуацій, information subsystem, ERP система, информационные подсистемы, інформаційні підсистеми, задачи распознавания ситуаций, the problem of recognition of situations

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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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green