Algorithm for the formation of a linguistic integrated assessment of resource sustainability of an enterprise

Abstract

The paper proposes an algorithm for the formation of a linguistic integrated assessment of the resource sustainability of an enterprise, based on the theory of extensive and intensive use of resources and methods of aggregating linguistic information using linguistic ordinal operators that formalize sequential averaging strategies for multicriteria estimation. The assessment of the extent of extensive and intensive use of resources in the work is carried out through groups of models that re ect the dependence of the resulting indicators of the enterprise on the quantity and quality of resources of various types. Quantitative indicators of the intensity of resource use are estimated by the method of chain substitutions; the Harrington function is used to switch to linguistic values. The integrated linguistic assessment obtained as a result of the work of the considered algorithm aggregates the linguistic values of the resource use intensity by all models and is interpreted as an integral indicator of resource stability, which is achieved due to intensive production factors.

Methods of data analysis in the problem of optimizing the rental schedule

“…In case of significance, when a new film is released, we could immediately assign it to one or another cluster by features and understand exactly where in the schedule it is necessary to put the release of this film. Figure 6 below shows the division of films into 4 clusters [13]. In the figure above, we see that the clustering was carried out according to the characteristics of films, namely: by genre, film rating, age limit, film duration, film format, and country code of the producer.…”