A new intuitionistic fuzzy cosine similarity measures and its application

Recent several researches have developed similarity measures method for handling pattern recognition problems based on intuitionistic fuzzy sets. However, in some cases, those proposed method can not give sufficient information to discriminate from some patterns. Therefore, the purpose of this paper is to present a new similarity measures model based on intuitionistic fuzzy sets. This proposed method is provided to enhance measure accuracy degree of similarity between basic pattern and each sample, so as to give additional information for decision makers. A comparison between previous existing methods and our proposed method has been discussed. In addition, an application for radar target identification has been illustrated through using the proposed method.