A Novel Decision-Making Approach under Complex Pythagorean Fuzzy Environment
A complex Pythagorean fuzzy set (CPFS) is an extension of a Pythagorean fuzzy set that is used to handle the vagueness with the degrees whose ranges are enlarged from real to complex subset with unit disc.
Sumera Naz, Muhammad Akram
exaly +4 more sources
A Novel Approach to Decision-Making with Pythagorean Fuzzy Information
A Pythagorean fuzzy set (PFS) is a powerful tool for depicting fuzziness and uncertainty. This model is more flexible and practical as compared to an intuitionistic fuzzy model. This paper proposes a new graph, called Pythagorean fuzzy graph (PFG).
Sumera Naz +2 more
exaly +4 more sources
Pythagorean m-polar Fuzzy Neutrosophic Topology with Applications [PDF]
The overarching structures like intuitionistic fuzzy sets, Pythagorean fuzzy sets, m-polar fuzzy sets, and neutrosophic fuzzy sets etc. have their own inadequacies and impediments.
Atiqa Siraj +4 more
doaj +2 more sources
An investigation on Pythagorean fuzzy $$\mathfrak {F_{p}^*}$$ fraction dense space using Pythagorean fuzzy frames [PDF]
The concept of frame is a generalisation of the concept of category of topological space open subsets. As a result, each frame acts as an open set in this context and the Pythagorean fuzzy sets is defined as a frame.
N. B. Gnanachristy, G. K. Revathi
doaj +2 more sources
On the similarity measures of N-cubic Pythagorean fuzzy sets using the overlapping ratio
The similarity measures are essential concepts to discuss the closeness between sets. Fuzzy similarity measures and intuitionistic fuzzy similarity measures dealt with the incomplete and inconsistent data more efficiently.
Mohammed A. Al Shumrani +1 more
doaj +2 more sources
Application of Bipolar Pythagorean Fuzzy Regular Alpha Generalized Closed Soft Matrices in Decision-making Problems [PDF]
In this paper, we introduce Bipolar Pythagorean fuzzy soft matrix topology and define Bipolar Pythagorean Fuzzy Regular generalized closed soft matrix and study some properties over the soft matrices.
S. Nithiyapriya, S. Maragathavalli
doaj +2 more sources
Pythagorean hesitant fuzzy sets are widely watched because of their excellent ability to deal with uncertainty, imprecise and vague information. This paper extends Pythagorean hesitant fuzzy environments to interval-valued Pythagorean hesitant fuzzy ...
Maoyin Zhang +3 more
doaj +2 more sources
Decision-Making Approach under Pythagorean Fuzzy Yager Weighted Operators
In fuzzy set theory, t-norms and t-conorms are fundamental binary operators. Yager proposed respective parametric families of both t-norms and t-conorms. In this paper, we apply these operators for the analysis of Pythagorean fuzzy sets. For this purpose,
Gulfam Shahzadi +2 more
doaj +2 more sources
Some Generalized Pythagorean Fuzzy Bonferroni Mean Aggregation Operators with Their Application to Multiattribute Group Decision-Making [PDF]
The Pythagorean fuzzy set as an extension of the intuitionistic fuzzy set characterized by membership and nonmembership degrees has been introduced recently. Accordingly, the square sum of the membership and nonmembership degrees is a maximum of one. The
Runtong Zhang +4 more
doaj +2 more sources
Pythagorean cubic set (PCFS) is the combination of the Pythagorean fuzzy set (PFS) and interval-valued Pythagorean fuzzy set (IVPFS). PCFS handle more uncertainties than PFS and IVPFS and thus are more extensive in their applications.
Tehreem +4 more
doaj +2 more sources

