Aug 2026· Herald of the Russian Academy of Sciences· Vol 96, pp. S54 - S60· 0 citations· 32 references
TL;DR
The creation of strong AI is impossible without the formation of a unified methodological basis that combines machine learning and decision theory, and it requires a targeted development of new mathematical tools for representing multicriteria problems and fuzzy preferences within the framework of the learning environment of intelligent agents.
The development of the combination of the artificial intelligence (AI) and optimization models is a revolutionary way to solve problems and make decisions in a variety of areas. This paper examines the synergistic opportunity of integrating AI methods, i.e., machine learning and natural language processing, with differ...
Bipradas Bairagi, B. Bepari, Balaram Dey et al.· Journal of Graphic Era Unive...· 0 citations
AI is a stream of science related to intelligent machine learning, mainly intelligent computer programs, which provides
results in a similar way to the human attention process[1]
. This process generally comprises obtaining data, developing efficient
systems for the uses of obtained data, illustrating definite or appro...
Tarang Chaube, P. Mishra, Sujeet Pratap Singh et al.· International Journal for Re...· 0 citations
Machine learning (ML) models, including rule-based architectures dominant in the technology of fuzzy sets, are constructed with the aid of intensive usage of data. Quite often, knowledge about the system/problem is available and offers some tangible benefits to the construction of the models. The relevance of knowledge...
Witold Pedrycz· IEEE Transactions on Cyberne...· 0 citations
Evolutionary Fuzzy Systems (EFSs) is a combination of evolutionary algorithms and fuzzy logic systems, providing the ability to globally optimally solve a problem with the interpretability and human reasoning of fuzzy systems. The survey examines the theory, hybridization approaches, and applications of EFSs in a wide...
N. A. Rosy, D. P, N. S. Ambedkar Rajan et al.· 2026 2nd International Confe...· 0 citations
Currently, the main method used for training neural networks is the backpropagation method, which is based on selecting appropriate weight coefficients using gradient descent. However, this method has a major limitation: it may become trapped in local optima. The application of a genetic algorithm helps to overcome thi...
A. Prudkiy, A. N. Losev, E. Shutkina· 2026 International Russian A...· 0 citations
