Abstract:

Rough set model based on prior probability dominance relation is an important expansion of rough set theory.However, it has its own defects and shortcomings. Rough set model based on conditions prior probability dominance relation is established on the basis of attribute value data statistics of incomplete partial order relation decision system. It not only takes into account different conditions of the same attribute values, but also the correlation between different attributes, so that a variety of prior information can be fully utilized. Therefore, the classification accuracy and quality can be improved effectively. This new model is proved to be effective and practical by theoretical analysis and practical example.

Key words: rough set, incomplete partial order relation decision system, conditions prior probability dominance relation