1. bookVolume 7 (2018): Issue 2 (May 2018)
Journal Details
License
Format
Journal
eISSN
2336-9205
First Published
11 Mar 2014
Publication timeframe
3 times per year
Languages
English
access type Open Access

Method of Constructing the Fuzzy Regression Model of Bank Competitiveness

Published Online: 14 May 2018
Volume & Issue: Volume 7 (2018) - Issue 2 (May 2018)
Page range: 139 - 164
Received: 04 May 2017
Accepted: 14 Aug 2017
Journal Details
License
Format
Journal
eISSN
2336-9205
First Published
11 Mar 2014
Publication timeframe
3 times per year
Languages
English
Abstract

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.

Keywords

JEL Classification

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