IDEAS home Printed from https://ideas.repec.org/a/ssi/jouesi/v8y2020i2p487-499.html
   My bibliography  Save this article

Artificial intelligence components and fuzzy regulators in entrepreneurship development

Author

Listed:
  • Sergii Bogachov

    (PO "Institute for Local and Regional Development", Ukraine)

  • Aleksy Kwilinski

    (London Academy of Science and Business, United Kingdom)

  • Boris Miethlich

    (Comenius University in Bratislava, Slovakia)

  • Viera Bartosova

    (University of Žilina, Slovakia)

  • Aleksandr Gurnak

    (Financial University under the Government of the Russian Federation, Russian Federation)

Abstract

The article provides a comparative study of the possibility of entrepreneurship development based on fuzzy signals of business activity and applied elements of artificial intelligence. The principal research methods that determine the logic and practical basis of the application of fuzzy logic in entrepreneurship are highlighted. It has been determined that fuzzy modeling is effective when technological processes are too complex for analysis using generally accepted quantitative methods, or when available sources of information in the business environment are interpreted poorly, inaccurately, and indefinitely. It has been shown experimentally that fuzzy logic gives better results compared to those obtained with generally accepted algorithms for analyzing the quality of doing business. A model of a neuro-fuzzy regulator has been developed and measures for its implementation in the business environment have been proposed. A neural network model in entrepreneurial development has been formed. Studies have shown the possibility of effective use of the principles of artificial intelligence and modeling in solving problems of developing entrepreneurial potential and making business decisions under conditions of uncertainty. This ensures objective and well-grounded decision-making in solving various applied problems of business development and taking into account environmental factors. The applied tasks of supporting the adoption of entrepreneurial decisions in the conditions are formulated; uncertainty; indicating that approaches to decision-making under conditions of uncertainty based on artificial intelligence and fuzzy logic tools are universal and require appropriate careful study and adaptation to a specific applied problem in the business environment.

Suggested Citation

  • Sergii Bogachov & Aleksy Kwilinski & Boris Miethlich & Viera Bartosova & Aleksandr Gurnak, 2020. "Artificial intelligence components and fuzzy regulators in entrepreneurship development," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 8(2), pages 487-499, December.
    • Handle: RePEc:ssi:jouesi:v:8:y:2020:i:2:p:487-499
    DOI: 10.9770/jesi.2020.8.2(29)
    as

    Download full text from publisher

    File URL: https://jssidoi.org/jesi/uploads/articles/30/Bogachov_Artificial_intelligence_components_and_fuzzy_regulators_in_entrepreneurship_development.pdf
    Download Restriction: no
    File URL: https://jssidoi.org/jesi/article/711
    Download Restriction: no
    File URL: https://libkey.io/10.9770/jesi.2020.8.2(29)?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Charles C. Snow & Øystein Devik Fjeldstad & Arthur M. Langer, 2017. "Designing the digital organization," Journal of Organization Design, Springer;Organizational Design Community, vol. 6(1), pages 1-13, December.
    2. Nicholas C. Petruzzi & Maqbool Dada, 2002. "Dynamic pricing and inventory control with learning," Naval Research Logistics (NRL), John Wiley & Sons, vol. 49(3), pages 303-325, April.
    3. Igors Skute, 2019. "Opening the black box of academic entrepreneurship: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(1), pages 237-265, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Radoslaw Miskiewicz, 2022. "Clean and Affordable Energy within Sustainable Development Goals: The Role of Governance Digitalization," Energies, MDPI, vol. 15(24), pages 1-17, December.
    2. Huishui Su & Yu Lu & Oleksii Lyulyov & Tetyana Pimonenko, 2023. "Good Governance within Public Participation and National Audit for Reducing Corruption," Sustainability, MDPI, vol. 15(9), pages 1-17, April.
    3. Radosław Miśkiewicz & Krzysztof Matan & Jakub Karnowski, 2022. "The Role of Crypto Trading in the Economy, Renewable Energy Consumption and Ecological Degradation," Energies, MDPI, vol. 15(10), pages 1-15, May.
    4. Guangzhen Zhang & Wangyang Jiang, 2023. "Remote Sensing Image Semantic Segmentation Method Based on a Deep Convolutional Neural Network and Multiscale Feature Fusion," International Journal on Semantic Web and Information Systems (IJSWIS), IGI Global, vol. 19(1), pages 1-16, January.
    5. Oleksandr Melnychenko, 2021. "Energy Losses Due to Imperfect Payment Infrastructure and Payment Instruments," Energies, MDPI, vol. 14(24), pages 1-20, December.
    6. Liping Wu & Kai Hu & Oleksii Lyulyov & Tetyana Pimonenko & Ishfaq Hamid, 2022. "The Impact of Government Subsidies on Technological Innovation in Agribusiness: The Case for China," Sustainability, MDPI, vol. 14(21), pages 1-15, October.
    7. Radosław Miśkiewicz, 2021. "The Impact of Innovation and Information Technology on Greenhouse Gas Emissions: A Case of the Visegrád Countries," JRFM, MDPI, vol. 14(2), pages 1-10, February.
    8. Henryk Dzwigol, 2022. "Research Methodology in Management Science: Triangulation," Virtual Economics, The London Academy of Science and Business, vol. 5(1), pages 78-93, April.
    9. Yang, Siying & Liu, Fengshuo, 2024. "Impact of industrial intelligence on green total factor productivity: The indispensability of the environmental system," Ecological Economics, Elsevier, vol. 216(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nan Yang & Renyu Zhang, 2022. "Dynamic pricing and inventory management in the presence of online reviews," Production and Operations Management, Production and Operations Management Society, vol. 31(8), pages 3180-3197, August.
    2. Vyacheslav Makedon & Nataliya Krasnikova & Oleksandr Krupskyi & Yuliia Stasiuk, 2022. "Arrangement of Digital Leadership Strategy by Corporate Structures: A Review," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 8, pages 19-40.
    3. Mikko Hänninen & Anssi Smedlund, 2021. "Same Old Song with a Different Melody: The Paradox of Market Reach and Financial Performance on Digital Platforms," Journal of Management Studies, Wiley Blackwell, vol. 58(7), pages 1832-1868, November.
    4. Arho Suominen & Matthias Deschryvere, 2024. "Barriers to immaterial property rights development in research organizations: an explorative study from Finland," The Journal of Technology Transfer, Springer, vol. 49(5), pages 1935-1958, October.
    5. Daniele Di Nunzio, 2018. "L?azione sindacale nell?organizzazione flessibile e digitale del lavoro," ECONOMIA E SOCIET? REGIONALE, FrancoAngeli Editore, vol. 2018(2), pages 77-92.
    6. Gel, Esma S. & Salman, F. Sibel, 2022. "Dynamic ordering decisions with approximate learning of supply yield uncertainty," International Journal of Production Economics, Elsevier, vol. 243(C).
    7. Terri L. Griffith & Emma S. Nordbäck & John E. Sawyer & Ronald E. Rice, 2018. "Field study of complements to supervisory leadership in more and less flexible work settings," Journal of Organization Design, Springer;Organizational Design Community, vol. 7(1), pages 1-26, December.
    8. Mladen Djuric & Marina Dobrota & Jovan Filipovic, 2020. "Complexity-based quality indicators for human and social capital in science and research: the case of Serbian Homeland versus Diaspora," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 303-328, July.
    9. Qing Li & Shaohui Zheng, 2006. "Joint Inventory Replenishment and Pricing Control for Systems with Uncertain Yield and Demand," Operations Research, INFORMS, vol. 54(4), pages 696-705, August.
    10. Anca Elena Lungu & Mircea Radu Georgescu & Daniel Juravle, 2024. "A Bibliometric Analysis of Digital Entrepreneurship," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(4), pages 18617-18645, December.
    11. repec:osf:osfxxx:puv7z_v1 is not listed on IDEAS
    12. Bahuleyan, Athira & Chavan, Meena & Krzeminska, Anna & Chirico, Francesco, 2024. "Process and variance research: Integrating research on university spinoff evolution," Technovation, Elsevier, vol. 130(C).
    13. Ghulam Mustafa & Hans Solli-Sæther & Virginia Bodolica & Jon Ivar Håvold & Anam Ilyas, 2022. "Digitalization trends and organizational structure: bureaucracy, ambidexterity or post-bureaucracy?," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 12(4), pages 671-694, December.
    14. Robertson, Jeandri & Pitt, Leyland & Ferreira, Caitlin, 2020. "Entrepreneurial ecosystems and the public sector: A bibliographic analysis," Socio-Economic Planning Sciences, Elsevier, vol. 72(C).
    15. David Mortimore, 2024. "Moving beyond human-centric organizational designs," Journal of Organization Design, Springer;Organizational Design Community, vol. 13(2), pages 65-75, June.
    16. Tatsiana Levina & Yuri Levin & Jeff McGill & Mikhail Nediak, 2009. "Dynamic Pricing with Online Learning and Strategic Consumers: An Application of the Aggregating Algorithm," Operations Research, INFORMS, vol. 57(2), pages 327-341, April.
    17. Yiangos Papanastasiou, 2020. "Newsvendor Decisions with Two-Sided Learning," Management Science, INFORMS, vol. 66(11), pages 5408-5426, November.
    18. Parra-López, Carlos & Reina-Usuga, Liliana & Carmona-Torres, Carmen & Sayadi, Samir & Klerkx, Laurens, 2021. "Digital transformation of the agrifood system: Quantifying the conditioning factors to inform policy planning in the olive sector," Land Use Policy, Elsevier, vol. 108(C).
    19. Stephan Leitner, 2025. "Emergent task allocation and incentives: an agent-based model," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 33(1), pages 211-239, March.
    20. Joanna Albrecht & Anna Lea Stark & Eleana Dongas & Kamil J. Wrona & Christoph Dockweiler, 2022. "Hosting an Online World Café to Develop an Understanding of Digital Health Promoting Settings from a Citizen’s Perspective—Methodological Potentials and Challenges," IJERPH, MDPI, vol. 19(16), pages 1-19, August.
    21. Schröder, Meike & Pahlevan, Sonja, 2021. "Conceptual framework for a digital organization," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Ringle, Christian M. & Blecker, Thorsten (ed.), Adapting to the Future: How Digitalization Shapes Sustainable Logistics and Resilient Supply Chain Management. Proceedings of the Hamburg Internationa, volume 31, pages 723-746, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.

    More about this item

    Keywords

    entrepreneurship; neural network; regulators; linguistic rule; genetic algorithm; object of control;
    All these keywords.

    JEL classification:

    • M21 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - Business Economics
    • O16 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Financial Markets; Saving and Capital Investment; Corporate Finance and Governance

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ssi:jouesi:v:8:y:2020:i:2:p:487-499. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Manuela Tvaronaviciene (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.