No abstract

Abstract. The article deals with a modern concept of controlling at enterprises in international business, which contains clarifications of the essence of controlling as a system and detailed consideration by its types: strategic and operational controlling, improvement of their goals, tasks, principles, functions and their relationship to other functions of management. The authors of the article explain how to choose controlling tools which are to be applied at a specific enterprise and suggest a system of controlled performance indicators of an industrial enterprise. A methodical approach to controlling of the export and import activities of enterprises is provided in the article. The authors propose the ways of using the results of controlling related to export and import activities at the enterprise in order to implement business strategies and improving the information systems existing at most industrial enterprises through the creation of the structure of controlling.

The paper substantiates the need to consider economic efficiency indicators of bank activity as fuzzy quantities. Formulations of the problem of fuzzy regression analysis and modelling, available in literary sources, have been analyzed. Three main approaches to the fuzzy regression analysis are presented. The general mathematical and meaningful formulation of problem of a fuzzy multivariate regression analysis for commercial bank competitiveness has been proposed. Sequence of its solutions is described. The example of numerical computations for one of the large Ukrainian banks is given. Results of obtained solution were analyzed from the standpoint of reliability, accuracy and compared against the classical crisp regression analysis. Finishing steps for obtaining final accurate numerical results of solution process are described. In summary, convincing arguments concerning the expediency of application of this approach to the problem of determining the competitiveness of banks are formulated and presented.

The article is devoted to developing a definition of the indicator of the bank’s competitiveness which based on the theory of fuzzy sets and neural networks techniques. Uncertainties that have a place when considering and analyzing the components of evaluating the success and effectiveness of the bank have been considered and analyzed. The sequence of construction and structure for generalizing parameter of bank competitiveness are presented and grounded. Stages of obtaining an integrated assessment of bank competitiveness by sequential application of fuzzy logic and neural networks approaches are determined and described. Corresponding fuzzy terms, membership functions and fuzzy inference rules are described. Overall sequence and steps to resolve the problem are processed. The practical implementation of the summary fuzzy inference of the bank’s competitiveness is given. In particular, numerical calculations on the proposed model for Ukrainian commercial bank “Khreshchatyk” was carried out. Comparison of obtained evaluation results for the competitiveness of specified bank with available data and other scientific information sources showed their compliance with factual situation. In this way, the expediency of application fuzzy modeling has been confirmed to determine the generalized indicators of bank competitiveness. Adequacy and accuracy of the proposed model and the results of calculations were proved. The proposed approach is quite general. This or similar model can be successfully used in other tasks of building and generalized evaluation of integrated indicators for the presence of several local, individual parameters for different economic processes and tasks.

The problem of multi-criteria choice of alternatives with accounting the multiple stakeholders' preferences has been considered. The model for solution with the composition of fuzzy sets has been described. The mathematical formulation and justification of the solution using a fuzzy utility functions is given. Corresponding numerical calculations and graphic example are presented.