Selecting Scenario in Adaptive System with Neuro-Fuzzy Decision Maker

In the paper an algorithm for adaptive system to select scenario has been proposed. Taking into account specification of the process two-stage identification approach is used. The first stage is built for diagnostic purpose e.g. estimated parameters of the first-stage's relationshipis utilised to make a decision at the second stage. Proposed algorithms rests on determined values selecting controls by make the most of extracted knowledge form human expert. Two different horizons of making decision process is discussed: for finite and fuzzy case. Designed procedures have been compared with classical methods. Biomedical application of planning physical exercises for sportsmen is considered.