Akademik Veri Yönetim Sistemi
4th International E-Conference on Mathematical Advances and Applications(ICOMAA 2021), İstanbul, Türkiye, 26 - 29 Mayıs 2021, ss.153-154, (Özet Bildiri)
A pythagorean fuzzy set is characterized by a membership degree and a non-membership degree, which satisfies the condition that the square sum of its membership degree and non-membership degree is less than or equal to 1. As a generalized set,
Pythagorean fuzzy sets have a close relationship with intuitionistic fuzzy sets. The intuitionistic fuzzy set played an important role in decision-making problems in a very short period of time and was successfully used in many decision-making problems. However, in some real-life problems, the sum of membership degrees and non-membership degrees may be greater than 1. The sum of the squares of these degrees is less than 1. In this case, the Pythagorean fuzzy set is a very useful tool and enables more effective results in multiple attribute decision-making problems. In the present study, for the medical decision-making problem, the new method is proposed related to the Pythagorean fuzzy soft set. The real dataset which is called the Cleveland heart disease dataset is applied to this problem.