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 …
considering the membership grade μ μ and non-membership ν ν satisfying the condition μ …
Bibliometric analysis on Pythagorean fuzzy sets during 2013–2020
M Lin, Y Chen, R Chen - International Journal of Intelligent Computing …, 2021 - emerald.com
Purpose The purpose of this paper is to make a comprehensive analysis of 354 publications
about Pythagorean fuzzy sets (PFSs) from 2013 to 2020 in order to comprehensively …
about Pythagorean fuzzy sets (PFSs) from 2013 to 2020 in order to comprehensively …
Einstein geometric aggregation operators using a novel complex interval-valued pythagorean fuzzy setting with application in green supplier chain management
The principle of a complex interval-valued Pythagorean fuzzy set (CIVPFS) is a valuable
procedure to manage inconsistent and awkward information genuine life troubles. The …
procedure to manage inconsistent and awkward information genuine life troubles. The …
Linear Diophantine fuzzy set and its applications towards multi-attribute decision-making problems
M Riaz, MR Hashmi - Journal of Intelligent & Fuzzy Systems, 2019 - content.iospress.com
The prevailing concepts of intuitionistic fuzzy sets (IFSs), Pythagorean fuzzy sets (PFSs) and
q-rung orthopair fuzzy sets (q-ROFSs) have numerous applications in various fields from …
q-rung orthopair fuzzy sets (q-ROFSs) have numerous applications in various fields from …
Multiple attribute decision making based on Pythagorean fuzzy Aczel-Alsina average aggregation operators
A useful expansion of the intuitionistic fuzzy set (IFS) for dealing with ambiguities in
information is the Pythagorean fuzzy set (PFS), which is one of the most frequently used …
information is the Pythagorean fuzzy set (PFS), which is one of the most frequently used …
Pythagorean fuzzy interaction power Bonferroni mean aggregation operators in multiple attribute decision making
L Wang, N Li - International Journal of Intelligent Systems, 2020 - Wiley Online Library
The power Bonferroni mean (PBM) operator can relieve the influence of unreasonable
aggregation values and also capture the interrelationship among the input arguments, which …
aggregation values and also capture the interrelationship among the input arguments, which …
A group decision making sustainable supplier selection approach using extended TOPSIS under interval-valued Pythagorean fuzzy environment
Due to the increasing awareness of environmental and social issues, sustainable supplier
selection becomes an important problem. The aim of this paper is to develop a novel group …
selection becomes an important problem. The aim of this paper is to develop a novel group …
Linguistic Pythagorean fuzzy sets and its applications in multiattribute decision‐making process
H Garg - International Journal of Intelligent Systems, 2018 - Wiley Online Library
In this article, a new linguistic Pythagorean fuzzy set (LPFS) is presented by combining the
concepts of a Pythagorean fuzzy set and linguistic fuzzy set. LPFS is a better way to deal …
concepts of a Pythagorean fuzzy set and linguistic fuzzy set. LPFS is a better way to deal …
Exponential operation and aggregation operator for q‐rung orthopair fuzzy set and their decision‐making method with a new score function
X Peng, J Dai, H Garg - International Journal of Intelligent …, 2018 - Wiley Online Library
Abstract q‐Rung orthopair fuzzy set (q‐ROFS) is a powerful tool that attracts the attention of
many scholars in dealing with uncertainty and vagueness. The aim of paper is to present a …
many scholars in dealing with uncertainty and vagueness. The aim of paper is to present a …
Pythagorean fuzzy power aggregation operators in multiple attribute decision making
G Wei, M Lu - International Journal of Intelligent Systems, 2018 - Wiley Online Library
In this paper, we utilize power aggregation operators to develop some Pythagorean fuzzy
power aggregation operators: Pythagorean fuzzy power average operator, Pythagorean …
power aggregation operators: Pythagorean fuzzy power average operator, Pythagorean …