Situational-Linguistic Modeling in Diagnostic Decision-Making Systems

Kuzomin, O.; Lyashenko, V.

Публікація:
Situational-Linguistic Modeling in Diagnostic Decision-Making Systems

dc.contributor.author	Kuzomin, O.
dc.contributor.author	Lyashenko, V.
dc.date.accessioned	2022-08-30T16:06:05Z
dc.date.available	2022-08-30T16:06:05Z
dc.date.issued	2022
dc.description.abstract	Modeling is one of the main elements of knowledge. With the help of modeling, you can study various objects and phenomena; choose the most appropriate solutions for the implementation of the necessary actions. At the same time, modeling does not have a harmful effect on the surrounding world that is being studied. Modeling allows you to set various conditions for the implementation of the model and obtain the necessary knowledge about the corresponding behavior of the processes or phenomena that we are considering. Among the different types of modeling, we single out situational-linguistic modeling. This type of modeling allows you to take into account various situations for decision making. Thus, we can talk about a situational-linguistic model in some environment. We also consider elements of a context-sensitive language for modeling.	uk_UA
dc.identifier.citation	Kuzomin O., Lyashenko V. Situational-Linguistic Modeling in Diagnostic Decision-Making Systems // International Journal of Academic Information Systems Research (IJAISR). – 2022. – Vol. 6(8). – P. 35-40.	uk_UA
dc.identifier.issn	2643-9026
dc.identifier.uri	https://openarchive.nure.ua/handle/document/20934
dc.language.iso	en	uk_UA
dc.publisher	IJAISR	uk_UA
dc.subject	modeling	uk_UA
dc.subject	diagnostics	uk_UA
dc.title	Situational-Linguistic Modeling in Diagnostic Decision-Making Systems	uk_UA
dc.type	Article	uk_UA
dspace.entity.type	Publication