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Knowledge models in computer-aided manufacturing systems

Статья в журнале

Despite of vast amounts of information and considerable opportunities to process it with computer-aided manufacturing systems, personal experience and lore of experts become a role-defining category in the issues of creating and making technical decisions. This should be factored into the process of creating instruments for decision making, which are based on computer-aided manufacturing systems. Efficient decision-making models, as well as models of factors (determinants) evaluation, should include expert knowledge data. In this connection, it is of burning importance to find ways to formalize expert knowledge into a code readable by computer-aided manufacturing systems. The research paper presents three determinant (criteria) evaluation models which help make technical decisions. The models include expert knowledge data formalized by means of linguistic variables. The research paper also presents recommendations on how to opt for a proper model, including requirements, and peculiarities of expert information collection matters.

Журнал:

  • IOP Conference Series: Materials Science and Engineering
  • IOP Publishing Ltd (Bristol)
  • Индексируется в Scopus

Библиографическая запись: Zakharova, A. A. Knowledge models in computer-aided manufacturing systems [Electronic resource] / A. A. Zakharova, Y. V. Grebenyuk // IOP Conference Series: Materials Science and Engineering. – 2021. – Vol. 1019. – Iss. 1. – P. 012045. – DOI: 10.1088/1757-899X/1019/1/012045

Индексируется в:

Автор:  Захарова А. А.
Год издания:  2021
Страницы:  1 - 7
Язык:  Английский
DOI:  10.1088/1757-899X/1019/1/012045

Внимание, в системе есть похожие записи:

Knowledge models in computer-aided manufacturing systems

Статья в журнале
IOP Conference Series: Materials Science and Engineering
2021 Черновик больше 3 лет назад
Автор:  Захарова А. А.