建模修复涉及复杂对象的问题情况所需的知识的提取器结构

Q4 Decision Sciences

International Journal of Applied Systemic Studies Pub Date : 2018-07-06 DOI:10.1504/IJASS.2018.10014101

S. L. Goldshtein, E. M. Gritsyuk, A. Averianova, S. S. Pecherkin

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引用次数: 0

摘要

本文描述了系统结构模型、元结构模型和算法提取器模型，用于解决涉及复杂对象的问题情况所需的知识。这些模型为提取器的形态发生和功能提供了形式化的描述，其发展主要通过包含系统集成结构来提出。

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Modelling the extractor structure of the knowledge needed for fixing problematic situations involving a complicated object

The paper describes system-structural, tuple-structured and algorithmic extractor models for the knowledge needed of fixing problematic situations involving a complicated object. The models provide a formalised description for morphogenesis and function of the extractor, development thereof being mainly proposed through including system integration structures.

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来源期刊

International Journal of Applied Systemic Studies Decision Sciences-Information Systems and Management

CiteScore

1.10

自引率

0.00%

发文量