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Artificial Intelligence and Decision Making, 2022, Issue 4, Pages 44–54
DOI: https://doi.org/10.14357/20718594220405 (Mi iipr80) 		 
AI-enabled systems

Formalization of structural synthesis of technical systems at the initial stage of design

A. Zaboleeva-Zotovaab, A. B. Petrovskiibcd

a Russian Center for Scientific Information, Moscow, Russia
b Volgograd State Technical University, Volgograd, Russia
c Federal Research Center "Computer Science and Control" of Russian Academy of Sciences, Moscow, Russia
d Belgorod Shukhov State Technological University, Belgorod, Russia
Full-text PDF (480 kB)
DOI: https://doi.org/10.14357/20718594220405
Abstract: The paper considers the means for conceptual design of complex technical systems. We constructed a quasi-axiomatic theory that formalizes the procedures of generating meaning for a natural language description of the process of creating a new technical solution. Semantic categories, structures of universal sets, operations for comparing elements of the universe are introduced. The types of connection of elementary subsystems are described. We proposed a formalization of the procedure for multilevel synthesis of a technical system using a generative grammar over fuzzy structures. An example of designing a technical device is given.
Keywords: conceptual design, structural synthesis, technical system, logical-linguistic modeling, generative grammar.
English version:
Scientific and Technical Information Processing, 2023, Volume 50, Issue 5, Pages 486–493
DOI: https://doi.org/10.3103/S0147688223050155
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: A. Zaboleeva-Zotova, A. B. Petrovskii, “Formalization of structural synthesis of technical systems at the initial stage of design”, Artificial Intelligence and Decision Making, 2022, no. 4, 44–54; Scientific and Technical Information Processing, 50:5 (2023), 486–493
Citation in format AMSBIB
\Bibitem{ZabPet22}
\by A.~Zaboleeva-Zotova, A.~B.~Petrovskii
\paper Formalization of structural synthesis of technical systems at the initial stage of design
\jour Artificial Intelligence and Decision Making
\yr 2022
\issue 4
\pages 44--54
\mathnet{http://mi.mathnet.ru/iipr80}
\crossref{https://doi.org/10.14357/20718594220405}
\elib{https://elibrary.ru/item.asp?id=50271694}
\transl
\jour Scientific and Technical Information Processing
\yr 2023
\vol 50
\issue 5
\pages 486--493
\crossref{https://doi.org/10.3103/S0147688223050155}
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