Evaluation approaches of brain information processing features

A certainty evaluation on ability feature and total deviation index feature of brain information processing is presented. The common approach is presented to gain the classification. It regards the characteristics of common human as the benchmark of classifying, expanding on both sides of common. For finding classification boundary, every feature's distribution function is estimated first, if the function is normal distribution, then the boundary can be computed by the feature's distribution. If it is not normal distribution, the distribution function can be converted into normal distribution by data transform. By the method, classification rules of ability feature and total deviation index feature are proposed. Because human behavior is the macroscopic indirect presentation of brain information processing, the result of this research may be used to evaluate the ability and character of human.