Research Information System
4th International Conference on Mathematical Advances and Applications (ICOMAA-2021) , İstanbul, Turkey, 26 - 29 May 2021, vol.4, no.1, pp.236-241, (Full Text)
Pythagorean fuzzy set 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 degree and non-membership degree
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.