Consideration of NON-Factors in Complex Models of Agricultural Production

Abstract

Using a specific example of solving the problem of creating and using an integrated planning model for the functioning of a difficult-to-formalize agricultural process for harvesting grass feed, an analysis of the causes of the manifestation of a range of NON-factors that significantly affect the sustainability of the feed production process under consideration has been carried out. The combination of an operational-calendar logical-dynamic model represented by a system of differential equations with fuzzy-probability models describing volume-resource planning and synthesized on the basis of expert knowledge for predicting yield and quality of grasses, allows solving a large-scale multiparametric problem of the theory of schedules for individual stages of harvesting grasses for silage. The following NON-factors are recorded in the modeling: uncertainty, fuzziness, underdeterminacy, inaccuracy, etc. At the level of the general description of the complex model, the following properties were additionally highlighted and formally described: incorrectness, inaccuracy, inadequacy of the model and ambiguity of interpretation of modeling results. In the field of artificial intelligence, the modeling of NON-factors is of paramount importance.