1) During the reporting period, in cooperation with mathematician M. Zemlīti: work on the MOLP algorithm, where non-strict equivalences and relevant aggregations were taken as a basis.
2) Work on an AML (Anti-Money Laundering) algorithm based on aggregation-based fuzzy relations.
3) Preparation and submission of the article "Fuzzy equivalence relations for solving a multiple objective linear programming problem".
4) Work has begun on the axiomatics of classical metrics from the point of view of crisp relations. It is proved that the family of classical metrics is isomorphic to the family consisting of linearly ordered sets with special properties. The idea is also carried over to the fuzzy case. The work "Non-strict metrics: back to the roots" has been developed and presented at the 81st International Scientific Conference of LU; abstract and presentation have been prepared, as well as work on the publication has begun.
5) The work "Fuzzification of some machine learning methods" was presented at the 81st International Scientific Conference of LU; Abstract and presentation have been prepared together with V. Mihailovs. The results of the project were presented in the work.
The information posted on 14.04.2023.