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Иерархические отношения — методическая основа изучения понятия иерархий

Иерархические отношения — методическая основа изучения понятия иерархий

Abstract

Two classes of hierarchical relationships that are determined. It is useful in the hierarchical models construction, and in related concepts of generalized tree structures. It is studied the kinds of hierarchies, reducible to each other, as well as the possibility of a correct determination of level stratification systems. Hierarchical relations and related concepts are compared. The above concept should be used in the teaching of computer science and other disciplines that require a precise definition of the hierarchy.

Определяются два класса иерархических отношений, полезных при построении иерархических моделей, и связанные с ними понятия обобщенных древовидных структур. Изучаются виды иерархий, их сводимость друг к другу, а также возможности корректного определения уровневого расслоения систем. Иерархические отношения и связанные с ними понятия сопоставляются. Рассмотренные понятия целесообразно использовать в преподавании информатики и других дисциплин, в которых требуется точное определение иерархичности.

Keywords

ИЕРАРХИЧЕСКИЕ ОТНОШЕНИЯ, ЭКВИВАЛЕНТНОСТЬ, КЛАССЫ ЭКВИВАЛЕНТНОСТИ, СУБОРДИНАЦИЯ, ОБОБЩЕННЫЕ ДРЕВОВИДНЫЕ СТРУКТУРЫ, ИЕРАРХИЧЕСКИЕ УРОВНИ

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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
gold