PUBLISHED PAPERS #13
| Shahnaz SHAHBAZOVA, Asgar RZAYEV. Intellectual information systems on the base of fuzzy neural networks |
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| Abstract. Intellectual information systems (IIS) are becoming increasingly important in today's data-driven world. These systems are designed to process and manage information in an intelligent and efficient manner, using advanced technologies such as artificial intelligence, machine learning, fuzzy logic, and neural networks. In this article, we explore the use of fuzzy neural networks (FNNs) in IIS. FNNs are a specific type of neural network that incorporates fuzzy logic to enable the processing of uncertain and imprecise data. We examine the advantages and challenges associated with the use of FNNs in IIS, and discuss the potential future developments in this field. |
| Keywords: intellectual information systems; fuzzy logic; fuzzy neural networks; artifical neural networks; linguistic data |
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| DOI: https://doi.org/10.54381/plmo2023.13 |