Target Recognition Based on Intuitionistic Fuzzy Sets Theory

Abstract

The observation collected by sensors in target recognition system may be fuzzy and conflict. Aimed at this problem, a technique based on intuitionistic fuzzy multiple attribute decision-making is proposed. Firstly,the possible degree for intuitionistic fuzzy sets is defined, and a method on ordering for IFSs is proposed. Secondly,IFS is used to represent the fuzzy measurement information of object characteristics, and the model of target recognition is constructed, also a multiple attribute decision-making method based on ordered weighted geometric averaging is proposed. Finally, the recognizing instances get into investigation. The experiments show that the proposed method is correct and effective; also it can be programmed easily and applied widely.