Метод формирования критериальных оценок морфологических признаков технических систем
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Научный журнал Моделирование, оптимизация и информационные технологииThe scientific journal Modeling, Optimization and Information Technology
Online media
issn 2310-6018

Method for formation of criterial assessments of morphological signs of technical systems

idKorobkin D.M.

UDC 004.89
DOI: 10.26102/2310-6018/2020.31.4.021

  • Abstract
  • List of references
  • About authors

The purpose of the study is to develop a method for the formation of criterion assessments of morphological features of technical systems based on the analysis of trends identified in the patent array. One of the common ways to generate new technical solutions or improve the functional structure of a technical system is the procedure of morphological synthesis. To evaluate a new synthesized technical solution, an urgent approach is the use of criterion assessments of its constituent morphological features (technical functions of system elements). As a result of the application of methods for extracting technical functions in the DGH format ("Action" - "Object" - "Restriction") from Russian-language patents and in the SAO format ("Subject" - "Action" - "Object"), a term document is formed from English-language patents. the matrix. The content of the term-document matrix is modernized on the basis of the developed algorithm for comparing technical functions, using statistical analysis of the patent array using Word2Vec technology (identifying contextual synonyms). A method for the formation of criterion estimates of technical functions based on patent trends identified by clustering a patent array based on a term document matrix has been developed. A method for determining the criteria-based assessment of the significance of a technical function in the future time period by means of forecasting time series based on the ARIMA method has been formed.

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Korobkin Dmitriy Michaylovich
PhD in Engineering Science, Associate Professor

ORCID |

Volgograd State Technical University

Volgograd, Russian Federation

Keywords: morphological analysis, dGH, sAO, patents, fact extraction, trend, aRIMA

For citation: Korobkin D.M. Method for formation of criterial assessments of morphological signs of technical systems. Modeling, Optimization and Information Technology. 2020;8(4). Available from: https://moitvivt.ru/ru/journal/pdf?id=867 DOI: 10.26102/2310-6018/2020.31.4.021 (In Russ).

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