English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

The article suggests using a new approach to formalize requirements and describe them in the form of a fuzzy area in the settings space. To do this, an alphabet is made that contains the values of linguistic variables. Using this method, it is possible to quantify the extent to which the proposed system is part of a variety of effective ARM’s. In this article, the authors used a new solution to apply elements of artificial intelligence and elements of fuzzy logic in the creation of ARM. Using linguistic variables in the article it is possible to determine the degree of belonging of the research system to the effectiveness of this ARM. The method of fuzzy aggregation using linguistic variables (LV) is used in this paper when forming a vector of requirements for an automatic workplace (AWP), as well as its elements, including cognitive analysis methods, a technical description of existing AWPs, their algorithmic and software tools, as well as to determine the degree of compliance of AWP variants with the necessary technical requirements. In this article, we have applied a new approach to formalizing the requirements for determining the effectiveness of ARM use using artificial intelligence and fuzzy logic elements. To do this, we propose to make a special alphabet that contains the values of linguistic variables. Using this method, it is possible to quantify the extent of belonging to many effective ARM’s.

The formalization of the characteristics of automatic workplace (AWP) with the use of linguistic variables (LV)