Interval Pythagorean Fuzzy Decision Based on GWOWA Operator

Table 1

Summary and comparison of decision-making methods in different fuzzy environments.

Fuzzy environments	Aggregation operator	Application scenarios	Research limitations	Research innovations
Intuitionistic fuzzy	WA, OWA, GOWA, WOWA, and other operators	Medical treatment, earthquake, and other dangerous situations [23–25]; enterprise management decision; location decision; risk assessment.	(1) The sum of membership degree and nonmembership degree in intuitionistic fuzzy numbers must be less than or equal to 1, resulting in the loss of original data information.; (2) The membership degree of Pythagorean fuzzy numbers has deviation.; (3) The research on aggregation operator in interval Pythagorean fuzzy environment is not comprehensive enough.	(1) From the perspective of fuzzy environment, both intuitionistic fuzzy and Pythagorean fuzzy information environment have certain limitations. The operator is extended to the interval Pythagorean fuzzy information environment, which enriches the fuzzy and uncertain expression of data information.; (2) Considering the generalization of generalized wowa operator to interval Pythagorean fuzzy information environment, it is helpful to enrich the research of interval Pythagorean fuzzy sets and aggregation operators.
Pythagorean fuzzy	WA, OWA, GOWA, WOWA, GWOWA, Bonferroni, Heronian, and other operators
Interval Pythagorean fuzzy	WA, Bonferroni, WOWA, OWA, Heronian, and other operators