Methodology for Modeling Innovative Intellectual Decision-Making Systems in Economics

This monograph systematizes and builds upon theoretical and methodological research concerning the creation of innovative intellectual decision-making systems. It outlines methodological approaches for the practical application of intellectual computing methods, such as neural networks, genetic algorithms, and fuzzy logic, in modeling decision-making systems. The work introduces models and methods to refine decision-making processes, aiming to bolster the viability and competitiveness of entities within the national economy. It serves as a valuable resource for researchers, lecturers, doctoral and postgraduate students, and undergraduate economics students at universities, as well as government officials, and business leaders and managers.