This study presents a state-of-the-art approach to optimize fuzzy inference systems (FIS) using genetic algorithms (GA), a powerful evolutionary method inspired by natural selection. Traditional FIS development relies on heuristic tuning of the rule base and relevance functions, which can be inefficient. This study systematically optimizes the FIS rule base, which improves the accuracy, flexibility, and robustness of decision systems. Experimental results show that the complexity of the rule base is significantly reduced while maintaining the system performance. The study also highlights the importance of GA operators such as selection, crossover, and mutation to achieve global optimality. Such integration helps develop intelligent systems that can adapt to real-world situations, yielding promising results for expert systems, automation, and control applications.
The article explores the role of intelligent systems and digital technologies in assessing and developing the export potential of Uzbekistan’s regions in the context of international integration. The current problems arc analysed and recommendations on effective implementation of digital tools for sustainable export growth are offered.
The article is devoted to the problem of unequal access to distance education for evening students, due to employment, domestic conditions, and technical limitations. The use of intelligent systems is proposed as a tool for the personalization of the educational process, adaptation of learning materials, and the organization of flexible communication between students and teachers. The article presents examples of possible solutions, the architecture of intelligent support, and the potential effect of implementation at the university level.
This article discusses the implementation of digital transformation to improve the effectiveness of education in higher education institutions and modernize educational processes. It also explores the opportunities for optimizing educational resources, effectively managing the working processes of students and teachers, and enhancing the quality of education through the introduction of digital technologies. The article presents measures and recommendations aimed at improving the educational process through the adoption of these digital tools.
The purpose of this study is to analyze the important role that artificial intelligence (Al) plays in the educational process. The article explores how modem Al technologies can solve a number of problems in the field of education, such as barriers to access to educational materials, learning difficulties and a shortage of educational resources.
