Expert knowledge peculiarities of “fuzzy assessments” and “fuzzy measurments” for modeling the state of complex agricultural objects

Abstract

In the context of digitalization of agriculture, new approaches to scientific research are needed in constructing analytical expressions as the most conducive to computerization of a wide range of specific applied problems. Significant uncertainty of agricultural information forces decisions to be made mainly by humans. This situation leads to the use of expert knowledge as a material for constructing mathematical models. For this purpose, the most convenient is the fuzzy-possibility approach, which is capable of formalizing verbal expert information with an analytical expression. In this paper, it is used to construct a fuzzy-possibility model of the state of environmental safety of a cattle farm. At each stage of model construction, the concepts of “fuzzy estimates”, “fuzzy measurements” and NON-factors were identified and interpreted as inevitable attributes of the study. The resulting adequate model allowed us to conclude that the degree of nitrogen preservation during disposal and use is a universal quantitative indicator of the farm’s environmental sustainability