Application of Beal’s Fuzzy Sets in Pattern Recognitions under Similarity Measures

In this article, we established to basic collection of operations and construct the abstract properties that can be transmitted to the different models they are in joined with then to rank Beal’s fuzzy set. we obtain the functions of score and accuracy, and formulate aggregate operators to be used with Beal’s fuzzy sets. Alternatively, we develop the successful techniques “aggregative operators” to handle multi-criteria decision making problems in the Beal’s fuzzy set environment. The proposed techniques has been illustrated and analysed through suitable example.