Most of the real life problems embroil uncertainties, imprecision and vagueness. Fuzzy multisets and Pythagorean fuzzy sets, initially suggested by Yager, are significant mathematical models to handle such real world problems. By combining these two notions, we introduce a new kind of hybrid mathematical model: Pythagorean fuzzy multisets (PFM-sets). We present some prime concepts of Pythagorean fuzzy multisets and establish various algebraic operations on them along with some important results. We render two applications to multi-attribute group decision making (MAGDM), accompanied by algorithms and flow charts, established on PFM-sets: One in therapeutic analysis linking medical and mathematical sciences and the other in pattern recogniti...
The Pythagorean fuzzy sets conveniently capture unreliable, ambiguous, and uncertain information, es...
Pythagorean fuzzy set is one of the successful extensions of the intuitionistic fuzzy set for handli...
In this paper, we extend the Hamy mean (HM) operator and dual Hamy mean (DHM) operator with Pythagor...
Scientific progression has allowed researchers to develop novel and innovative ways to deal with unc...
Due to the increased complexity of real decision-making problems, representing attribute values corr...
A Pythagorean fuzzy set (PFS) is a powerful tool for depicting fuzziness and uncertainty. This model...
As a generalization of the intuitionistic fuzzy set (IFS), a Pythagorean fuzzy set has more flexibil...
Pythagorean fuzzy set is a reliable technique for soft computing because of its ability to curb inde...
In this article, we introduce the concept of Pythagorean m-polar fuzzy soft sets (PmFSSs). This set ...
Aggregation operators (AOs) are utilized to overcome the influence of uncertain and vague informatio...
There are many aggregation operators have been defined up to date, but in this work, we define the i...
Pythagorean hesitant fuzzy sets are widely watched because of their excellent ability to deal with u...
The partitioned Bonferroni mean (PBM) operator can efficiently aggregate inputs, which are divided i...
This article takes advantage of advancements in two different fields in order to produce a novel dec...
The Hamy mean (HM) operator, as a useful aggregation tool, can capture the correlation between multi...
The Pythagorean fuzzy sets conveniently capture unreliable, ambiguous, and uncertain information, es...
Pythagorean fuzzy set is one of the successful extensions of the intuitionistic fuzzy set for handli...
In this paper, we extend the Hamy mean (HM) operator and dual Hamy mean (DHM) operator with Pythagor...
Scientific progression has allowed researchers to develop novel and innovative ways to deal with unc...
Due to the increased complexity of real decision-making problems, representing attribute values corr...
A Pythagorean fuzzy set (PFS) is a powerful tool for depicting fuzziness and uncertainty. This model...
As a generalization of the intuitionistic fuzzy set (IFS), a Pythagorean fuzzy set has more flexibil...
Pythagorean fuzzy set is a reliable technique for soft computing because of its ability to curb inde...
In this article, we introduce the concept of Pythagorean m-polar fuzzy soft sets (PmFSSs). This set ...
Aggregation operators (AOs) are utilized to overcome the influence of uncertain and vague informatio...
There are many aggregation operators have been defined up to date, but in this work, we define the i...
Pythagorean hesitant fuzzy sets are widely watched because of their excellent ability to deal with u...
The partitioned Bonferroni mean (PBM) operator can efficiently aggregate inputs, which are divided i...
This article takes advantage of advancements in two different fields in order to produce a novel dec...
The Hamy mean (HM) operator, as a useful aggregation tool, can capture the correlation between multi...
The Pythagorean fuzzy sets conveniently capture unreliable, ambiguous, and uncertain information, es...
Pythagorean fuzzy set is one of the successful extensions of the intuitionistic fuzzy set for handli...
In this paper, we extend the Hamy mean (HM) operator and dual Hamy mean (DHM) operator with Pythagor...