Fuzzy Model Based Intelligent Prediction of Objective Events

摘要

There are many processes under control. Nowadays all of them undergo through the automation procedure due to the rapid development of information technologies and computing devices. Because of the fact that many tasks of control deal with the elimination of situations, which can cause emergencies, automatic prediction of objective events in process streams becomes the popular problem decided by automation procedure. This work presents the new approach for intelligent analysis of processes represented by time series data. The main aim of our approach is prediction and detection of objective events. The idea of the technique is referred to the mapping of original time series into phase space and construction of the fuzzy prediction clusters of patterns in this phase space. Prediction stage consists of comparison of observed event with the prediction clusters according to the base of fuzzy rules.