Inverse P-data Models and Data Intelligent Separation

Abstract

Firstly by improving inverse P-sets, inverse P-data model is proposed, it consists of internal and external inverse P-data models, and demonstrates dynamic characteristics; then the expansion-contraction generations of attribute disjunctive normal form for inverse P-data model are shown, and inverse P-data reasoning is proposed; finally intelligent data separation-discovery is given, and verified by an application.