The Method of Pattern Recognition Based on Weighted Intuitionistic Fuzzy Relative Entropy

摘要

On the difficulty for the current pattern recognition to deal with fuzzy uncertain information, in this paper, the author tries to give a definition of intuitionistic fuzzy relative entropy, and meanwhile introduces the weighted thought into fuzzy pattern recognition, putting forward the method of Pattern Recognition based on Weighted Intuitionistic Fuzzy Relative Entropy. The new method accurately describes and shows the uncertainty of historical information, effectively realizes the quantitative analysis of pattern recognition, and improves the reliability, accuracy, and the robust performance of the system. Finally, through the examples, the effectiveness and superiority are proved.