Neuro-Fuzzy Modeling Techniques in Economics

Aims & Scope

The journal is dedicated to the spread of the results of theoretical and practical research in the modeling of economic systems and processes based on the tools of fuzzy set theory, fuzzy logic, neural networks, evolutionary algorithms and other intelligent techniques.

The journal is aimed primarily at scientists and experts in the field of economics and finance, which are engaged in the development and application of mathematical methods and models for the analysis and forecasting of economic systems and processes.

The journal is founded in 2011.

The journal is annual.

Founder and Publisher: Kyiv National Economic University named after Vadym Hetman.

View Aims & Scope

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Metrics & Ranking

SJR (SCImago Journal Rank)

Year	Value
2024	0.152

Quartile

Year	Value
2024	Q4

h-index

Year	Value
2024	6

Journal Rank

Year	Value
2024	24409

Journal Citation Indicator

Year	Value
2024	12

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Decision Sciences, Economics, Econometrics and Finance and Mathematics, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Visibility graphs and precursors of stock crashes

  Citation: 7

  Authors: Vladimir, Viktoria, Anna

• EU countries clustering for the state of food security using machine learning techniques

  Citation: 6

  Authors: Vitaliy, Oleksandra

• Artificial intelligence tools for managing the behavior of economic agents at micro level

  Citation: 6

  Authors: Svitlana, Bohdan

• Forecasting electricity generation from renewable sources in developing countries (on the example of Ukraine)

  Citation: 6

  Authors: Ihor, Тetiana, Yuliia

• Fuzzy, Neuronet and Discriminant Models for Diagnosing the Possibility of Bankruptcy of Enterprises

  Citation: 5

  Authors: Andriy

• Modeling the values of reflexive characteristics of agents within the management of herd behavior at the enterprises

  Citation: 4

  Authors: Svitlana

• Graphodynamical research methods for complexity of modern stock markets

  Citation: 4

  Authors: Vladimir, Anna

• Neuromodeling of features of crisis contagion on financial markets between countries with different levels of economic development

  Citation: 4

  Authors: Dmytro, Inna

• Fuzzy logic model of usability of websites of higher education institutions in the context of digitalization of educational services

  Citation: 4

  Authors: Hanna, Yuliia, Dmytro, Olha

• Identifying stock market crashes by fuzzy measures of complexity

  Citation: 4

  Authors: Andrii, Vladimir, Serhiy, Viktoria

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