Pythagorean fuzzy set: state of the art and future directions

X Peng, G Selvachandran - Artificial Intelligence Review, 2019 - Springer
Pythagorean fuzzy set, generalized by Yager, is a new tool to deal with vagueness
considering the membership grade μ μ and non-membership ν ν satisfying the condition μ …

Linguistic q‐rung orthopair fuzzy sets and their interactional partitioned Heronian mean aggregation operators

M Lin, X Li, L Chen - International Journal of Intelligent Systems, 2020 - Wiley Online Library
The linguistic intuitionistic fuzzy sets (LIFSs) and linguistic Pythagorean fuzzy sets (LPFSs)
are two linguistic orthopair fuzzy sets whose membership grades are pairs of linguistic terms …

Multi-criteria decision making in Pythagorean fuzzy environment

L Fei, Y Deng - Applied Intelligence, 2020 - Springer
Pythagorean fuzzy set, initially extended by Yager from intuitionistic fuzzy set, is capable of
modeling information with more uncertainties in the process of multi-criteria decision making …

Models for green supplier selection with some 2-tuple linguistic neutrosophic number Bonferroni mean operators

J Wang, G Wei, Y Wei - Symmetry, 2018 - mdpi.com
In this paper, we extend the Bonferroni mean (BM) operator, generalized Bonferroni mean
(GBM) operator, dual generalized Bonferroni mean (DGBM) operator and dual generalized …

New q‐rung orthopair fuzzy partitioned Bonferroni mean operators and their application in multiple attribute decision making

W Yang, Y Pang - International Journal of Intelligent Systems, 2019 - Wiley Online Library
The q‐rung orthopair fuzzy sets are superior to intuitionistic fuzzy sets or Pythagorean fuzzy
sets in expressing fuzzy and uncertain information. In this paper, some partitioned …

Multiple attribute decision making based on q-rung orthopair fuzzy generalized Maclaurin symmetic mean operators

P Liu, Y Wang - Information Sciences, 2020 - Elsevier
In the article, we establish two multiple attribute decision making (MADM) approaches using
the developed weighted generalized Maclaurin symmetric mean (q-ROFWGMSM) and …

Group decision making based on entropy measure of Pythagorean fuzzy sets and Pythagorean fuzzy weighted arithmetic mean aggregation operator of Pythagorean …

K Kumar, SM Chen - Information Sciences, 2023 - Elsevier
In this paper, we propose a new entropy measure of Pythagorean fuzzy sets (PFSs). The
proposed entropy measure of PFSs can conquer the shortcomings of the existing entropy …

A survey on recent applications of pythagorean fuzzy sets: A state-of-the-art between 2013 and 2020

M Deveci, L Eriskin, M Karatas - Pythagorean Fuzzy Sets: Theory and …, 2021 - Springer
Pythagorean fuzzy sets (PFSs) have attracted the attention of researchers in recent years as
it is very useful in modeling uncertain information. The main aim of this study is to conduct a …

CODAS method for 2-tuple linguistic pythagorean fuzzy multiple attribute group decision making and its application to financial management performance assessment

T He, S Zhang, G Wei, R Wang, J Wu… - Technological and …, 2020 - journals.vilniustech.lt
Financial management performance evaluation (FMPE) has a significant effect on the
identifying an investment chance. We can usually consider FMPE as a multiple attribute …

A robust decision making approach for hydrogen power plant site selection utilizing (R, S)-Norm Pythagorean Fuzzy information measures based on VIKOR and …

A Guleria, RK Bajaj - International Journal of Hydrogen Energy, 2020 - Elsevier
In recent years, there is a rapid development in the direction of hydrogen energy industry
having primary involvement in automobile transportation fuel. Hydrogen is the most …