An inexact reasoning algorithm based on interaction with fuzzy rule matrix transformation

This paper presents a reasoning algorithm based on interaction with fuzzy rule matrix transformation, and applies it to completing the patterns. Then the new full patterns will be used in training and synthetic judgment. The investigation shows that the method is effective and may be widely used in reasoning with incomplete knowledge.