Prediction of engineering solutions based on morphological approach

Abstract

Forecasting of scientific solutions based on the morphological approach, as well as the analysis and synthesis of new ideas and engineering solutions depends on a large number of different factors. This means that the specific results and duration of analysis and synthesis largely contain uncertainty factors. Uncertainty arises from the diversity of internal and external relationships, the complexity and variety of causal factors and the complexity with other engineering and social systems. The increasing need to increase the speed of adoption and development of new innovative engineering solutions determines the importance of building predictive models and finding methods to increase the compared alternatives and methods for their evaluation. The aim of the paper is to analyze the application of the improved morphological approach for predicting the development of complex systems. As a result, the analysis of the complex system of the system and forecasting of its development is carried out. The use of the proposed approach can be considered as a process of increasing the stability of synthesized systems and processes.