Method of Constructing the Fuzzy Regression Model of Bank Competitiveness

Article Properties
  • Language
    English
  • DOI (url)
    10.2478/jcbtp-2018-0016
  • Publication Date
    2018/05/01
  • Journal
    Journal of Central Banking Theory and Practice
  • Indian UGC (journal)
  • Refrences
    18
  • Citations
    6
  • Liudmyla Malyaretz Kharkiv National University of Economics , Kharkiv , Ukraine
  • Oleksandr Dorokhov Kharkiv National University of Economics , Kharkiv , Ukraine
  • Liudmyla Dorokhova National Pharmaceutical University , Kharkiv , Ukraine
Abstract
Cite
Malyaretz, Liudmyla, et al. “Method of Constructing the Fuzzy Regression Model of Bank Competitiveness”. Journal of Central Banking Theory and Practice, vol. 7, no. 2, 2018, pp. 139-64, https://doi.org/10.2478/jcbtp-2018-0016.
Malyaretz, L., Dorokhov, O., & Dorokhova, L. (2018). Method of Constructing the Fuzzy Regression Model of Bank Competitiveness. Journal of Central Banking Theory and Practice, 7(2), 139-164. https://doi.org/10.2478/jcbtp-2018-0016
Malyaretz, Liudmyla, Oleksandr Dorokhov, and Liudmyla Dorokhova. “Method of Constructing the Fuzzy Regression Model of Bank Competitiveness”. Journal of Central Banking Theory and Practice 7, no. 2 (2018): 139-64. https://doi.org/10.2478/jcbtp-2018-0016.
Malyaretz L, Dorokhov O, Dorokhova L. Method of Constructing the Fuzzy Regression Model of Bank Competitiveness. Journal of Central Banking Theory and Practice. 2018;7(2):139-64.
Journal Category
Social Sciences
Finance
Refrences
Title Journal Journal Categories Citations Publication Date
Multiobjective fuzzy linear regression analysis for fuzzy input-output data Fuzzy Sets and Systems
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
  • Technology: Engineering (General). Civil engineering (General)
  • Technology: Engineering (General). Civil engineering (General)
 128 1992
Properties of certain fuzzy linear regression methods Fuzzy Sets and Systems
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
  • Technology: Engineering (General). Civil engineering (General)
  • Technology: Engineering (General). Civil engineering (General)
 82 1994
Entropy for fuzzy regression analysis International Journal of Systems Science
  • Technology: Mechanical engineering and machinery
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Manufactures: Production management. Operations management
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
 11 2005
Least squares model fitting to fuzzy vector data Fuzzy Sets and Systems
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
  • Technology: Engineering (General). Civil engineering (General)
  • Technology: Engineering (General). Civil engineering (General)
 143 1987
Fuzzy least squares Information Sciences
  • Technology: Technology (General): Industrial engineering. Management engineering: Information technology
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication
  • Science: Science (General): Cybernetics: Information theory
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
 377 1988
Citations
Title Journal Journal Categories Citations Publication Date
Fuzzy sets and (fuzzy) random sets in Econometrics and Statistics Econometrics and Statistics 2023
Fuzzy structural risk of default for banks in Southern Africa Cogent Economics & Finance
  • Social Sciences: Finance
  • Social Sciences: Economic theory. Demography
  • Social Sciences: Economic theory. Demography: Economics as a science
 2 2022
Design and implementation of the fuzzy expert system in Monte Carlo methods for fuzzy linear regression Applied Soft Computing
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
 8 2019
Analysis of the stability factors of Ukrainian banks during the 2014–2017 systemic crisis using the Kohonen self-organizing neural networks

 Banks and Bank Systems
  • Social Sciences: Finance: Banking
  • Social Sciences: Finance
  • Social Sciences: Economic theory. Demography: Economics as a science
 15 2019
Obtaining a Generalized Index of Bank Competitiveness Using a Fuzzy Approach

 Journal of Central Banking Theory and Practice
  • Social Sciences: Finance
 6 2019
Citations Analysis
Category Category Repetition
Social Sciences: Finance4
Social Sciences: Economic theory. Demography: Economics as a science2
Science: Mathematics: Instruments and machines: Electronic computers. Computer science1
Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software1
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware1
Social Sciences: Economic theory. Demography1
Social Sciences: Finance: Banking1
The category Social Sciences: Finance 4 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Analysis of the stability factors of Ukrainian banks during the 2014–2017 systemic crisis using the Kohonen self-organizing neural networks and was published in 2019. The most recent citation comes from a 2023 study titled Fuzzy sets and (fuzzy) random sets in Econometrics and Statistics. This article reached its peak citation in 2019, with 4 citations. It has been cited in 5 different journals, 40% of which are open access. Among related journals, the Journal of Central Banking Theory and Practice cited this research the most, with 2 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year