MULTIFACTORIAL CONVOLUTION OF EXPERT INFORMATION WHEN EVALUATING AGRICULTURAL TECHNOLOGIES BASED ON EXPLICIT AND IMPLICIT EXPERT KNOWLEDGE

UDC 519.71
DOI: 10.36871/2618-9976.2021.07.003

Authors

Spesivtsev A.V.
SaintPetersburg Institute for Informatics and Automation of RAS (SPIIRAS)
Sukhoparov A.I.
SaintPetersburg Institute for Informatics and Automation of RAS (SPIIRAS)
Spesivtsev V.A.
SaintPetersburg Institute for Informatics and Automation of RAS (SPIIRAS)
Semenov A.I.
SaintPetersburg Institute for Informatics and Automation of RAS (SPIIRAS)

Abstract

The attractiveness of using expert knowledge is obvious, since it uses the experience of highly qualified specialists in this area of knowledge, does not require additional time and money to conduct expensive experiments. However, this approach requires the use of special methods of convolution of expert knowledge (EK) in the multifactor space for solving practical problems. An example of constructing a fuzzypossibility model in a fivedimensional factor space for evaluating a generalized indicator of the efficiency of a technological process for the production of forages from grass is considered. The factors selected by the expert, in turn, are aggregated, i.e., generalized by factors of a lower level of the hierarchy, and constitute a virtual space. Nevertheless, this approach provides an opportunity from a single position and in a single factor space to carry out comparative assessments of the technologies under study. It is shown that the results of quantitative assessment according to the generalized indicator of the effectiveness of technologies completely coincide with the true states of forage production from grasses in farms, depending on the technologies they use – from highintensity to basic ones. The adequacy of calculations for the proposed fuzzypossibility model (NVM) to the actual states of various applied technologies allows us to recommend the considered approach when assessing the state of forage production from grasses for use in agriculture in the NorthWest region of the Russian Federation.

Keywords

Multifactor convolution
Aggregation
Fuzzy-optional model
Feeding from herbs
Expertise
Agricultural production