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 …

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 …

Pythagorean fuzzy DEMATEL method for supplier selection in sustainable supply chain management

BC Giri, MU Molla, P Biswas - Expert Systems with Applications, 2022 - Elsevier
Abstract The fuzzy DEMATEL (Decision Making Trial and Evaluation Laboratory) method is
one of the accepted decision-making methods in uncertain environment. The Pythagorean …

Fermatean fuzzy Einstein aggregation operators-based MULTIMOORA method for electric vehicle charging station selection

P Rani, AR Mishra - Expert Systems with Applications, 2021 - Elsevier
The optimal location of electric vehicle charging station (EVCS) will promote the rapid
development of the electric vehicle (EV) industry. Generally, EVCS location selection is …

A novel MADM technique based on extended power generalized Maclaurin symmetric mean operators under probabilistic dual hesitant fuzzy setting and its …

B Ning, G Wei, R Lin, Y Guo - Expert Systems with Applications, 2022 - Elsevier
Sustainable suppliers selection is a typical multi-attribute decision-making (MADM) problem.
MADM is a common problem in the field of decision-making, which is full of uncertainty and …

Pythagorean fuzzy interactive Hamacher power aggregation operators for assessment of express service quality with entropy weight

L Wang, H Garg, N Li - Soft Computing, 2021 - Springer
Reasonable and effective assessment of express service quality can help express company
discover its own shortcomings and overcome them, which is crucial significant to enhance its …

Some q‐rung orthopair fuzzy aggregation operators and their applications to multiple‐attribute decision making

P Liu, P Wang - International Journal of Intelligent Systems, 2018 - Wiley Online Library
The q‐rung orthopair fuzzy sets (q‐ROFs) are an important way to express uncertain
information, and they are superior to the intuitionistic fuzzy sets and the Pythagorean fuzzy …

Fermatean fuzzy weighted averaging/geometric operators and its application in multi-criteria decision-making methods

T Senapati, RR Yager - Engineering Applications of Artificial Intelligence, 2019 - Elsevier
Fermatean fuzzy sets (FFSs), proposed by Senapati and Yager (0000), can handle uncertain
information more easily in the process of decision making. They defined basic operations …

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 …

Fermatean fuzzy ELECTRE multi-criteria group decision-making and most suitable biomedical material selection

M Kirişci, I Demir, N Şimşek - Artificial Intelligence in Medicine, 2022 - Elsevier
ELECTRE is a family of multi-criteria decision analysis techniques, which has the ability to
provide as much as possible precise and suitable set of actions or alternatives to the …