Akademik Veri Yönetim Sistemi
4th International Conference on Mathematical Advances and Applications (ICOMAA-2021) , İstanbul, Türkiye, 26 - 29 Mayıs 2021, ss.100-104, (Tam Metin Bildiri)
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 nonmembership 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.