Methods of analysis of different-type features informativity
The problem of estimation of informativity of different-type features for regularities discovery and decision-making support in the intelligent systems is considered. The characteristics of the three probabilistic and discrete approaches to estimation of different-type features taking into account different kinds of dependence of them are analysed. The two-side estimates for probability of critical number of features for guaranteed level of quality of pattern recognition procedure are obtained.