Intellectual capital management of the business community based on the neuro-fuzzy hybrid system
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Date
2022
Journal Title
Journal ISSN
Volume Title
Publisher
Київський національний економічний університет імені Вадима Гетьмана
Abstract
The modern economy needs to address the issue of assessing intellectual capital as the basis for the development of market relations. The search for ways to solve this problem is possible based on the use of soft methods. The aim of the article is to develop a structural model for managing the intellectual capital of the business community based on an appropriate neuro-fuzzy system. Developed on the basis of soft computing methods, an innovative model for estimating intellectual capital of the business community is able to process “non-rigorous”, incomplete or distorted input data, work with qualitative concepts, ambiguous and uncertain statements, perform operations with weak formalized economic parameters. The experimental results obtained made it possible to formulate the methods for evaluating the intellectual capital of business communities (or other similar economic systems) characterized by fuzzy relations between input and output parameters, considerable difficulties in formalizing the factors of influence, capability of using linguistic experts’ statements for building an information and analytical system, etc. The developed hybrid neuro-fuzzy system “Board” for evaluating intellectual capital of a business community enables to process both quantitative and qualitative input data, and was built up according to the criteria of digital economy transformation projects.
Description
Keywords
intellectual capital, management, modeling, fuzzy logic, business community
Citation
Intellectual capital management of the business community based on the neuro-fuzzy hybrid system / Serhii Kozlovskyi, Petro Syniehub, Andrii Kozlovskyi, Ruslan Lavrov // Нейро-нечіткі технології моделювання в економіці : наук.-анал. журн. / М-во освіти і науки України, Київ. нац. екон. ун-т ім. Вадима Гетьмана ; [редкол.: А. В. Матвійчук (голов. ред.) та ін.]. – Київ : КНЕУ, 2022. – № 11. – С. 25–47.