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Концепція нечіткого регресійного аналізу конкурентоспроможності банку

Authors: Кoybichuk, Vitalia Vasylivna;

Концепція нечіткого регресійного аналізу конкурентоспроможності банку

Abstract

Викладена концепція описового моделювання конкурентоспроможності банку на основі нечіткого регресійного аналізу. В пропонованій нечіткій ба-гатофакторній лінійній регресійній моделі розглядається критерій мінімізації нечіткості для оцінки нечітких параметрів математичної моделі. The conception of descriptive modeling competitiveness bank based on fuzzy regression analysis. In the proposed fuzzy multivariate linear regression model is considered a criterion for minimizing the fuzziness of fuzzy evaluation parameters of the mathematical model.

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Keywords

fuzzy regression analysis, концепция моделирования, нечеткий регрессионный анализ, нечіткий регресійний аналіз, bank's competitiveness, концепція моделювання, конкурентоспособность банка, concept of modeling, конкурентоспроможність банку

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green