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An idea presented in (6,7) has been developed further, and the patients readiness for weaning form long-term mechanical ventilation has been determined in the sense of intuitionistic fuzzy logic (1). In the present paper it is solved as pattern recognition problem. As a final estimate of the classification an estimate aggregated from four estimates, obtained by four different procedures: Stepwise discriminant analysis (SDA), stepwise logistic regression (SLR), "intuitionistic fuzzy" Voronoi diagrams (IFVD) and nonpulmonary weaning index (NPWI), is taken. The aggregation of estimates is executed by the application of the second algorithm, proposed in (7). A comparison between the two algorithms has been made.