Fuzzy Logical-Linguistic Analysis of Data Quality in Financial Information Systems

The proposed approach to the analysis of data quality is based on the use of the apparatus of fuzzy logical-linguistic analysis by L. Zadeh. The indicators are presented in the form of linguistic variables, the semantics of which are set by experts. The constructed hierarchy of indicators makes it possible to increase the scientific validity of decisions while ensuring the quality of data in financial systems.