Methods and Algorithms of Fuzzy Models Construction Assessing the State of the Low-Formalized Processes

摘要

This research aims to examine the hybrid methods of fuzzy models construction of the intellectual analysis of the state of weakly formalized processes. Developed an algorithm for constructing a fuzzy logical model of intellectual analysis - classification, estimation and forecasting of the state of weakly formalized processes based on the fuzzy clustering method. The possibility of obtaining a fuzzy solution in constructing a fuzzy logical model for the classification, estimation and forecasting of the state of weakly formalized processes is shown on the basis of tuning the model parameters by neural networks and the bees algorithm for various membership functions.