Predicting results of control in real time expert systems of the decision making support, based on the fuzzy situation models

A method to solve the problem of predicting the future states of the controlled object in the decision making support expert systems, based on fuzzy situation models, is considered. A concept of control paths is set forth. A notion of control paths and fundamental mathematical relationships of the fuzzy set algebra on the set of paths are given. The paths correlation problem is examined. A technique of predicting the controlled object behavior is described, which is based on the control experience, formalized in the form of the control paths library.