Selection of appropriate global partner for companies using q-rung orthopair fuzzy Aczel–Alsina average aggregation operators
T Senapati, L Martínez, G Chen - International Journal of Fuzzy Systems, 2023 - Springer
The term “q-Rung orthopair fuzzy sets (qr OFSs)” refers to the collection of the most
differentiated ideas for expressing fuzzy data in decision-making rules. The qr OFSs can …
differentiated ideas for expressing fuzzy data in decision-making rules. The qr OFSs can …
A survey on recent applications of pythagorean fuzzy sets: A state-of-the-art between 2013 and 2020
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 …
it is very useful in modeling uncertain information. The main aim of this study is to conduct a …
A method to multi-attribute group decision-making problem with complex q-rung orthopair linguistic information based on heronian mean operators
The notions of complex q-rung orthopair fuzzy sets (Cq-ROFSs) and linguistic sets (LSs) are
two different concepts to deal with uncertain information in multi-attribute group decision …
two different concepts to deal with uncertain information in multi-attribute group decision …
A multi-objective q-rung orthopair fuzzy programming approach to heterogeneous group decision making
In allusion to heterogeneous multi-criteria group decision making (MCGDM) problems with
incomplete weights and q-rung orthopair fuzzy (q-ROF) truth degrees, where many kinds of …
incomplete weights and q-rung orthopair fuzzy (q-ROF) truth degrees, where many kinds of …
Generalized MULTIMOORA method and Dombi prioritized weighted aggregation operators based on T‐spherical fuzzy sets and their applications
In this manuscript, the technique of the generalized MULTIMOORA method is investigated
by using the concept of a T‐spherical fuzzy set (T‐SFS), which is the modified idea of a …
by using the concept of a T‐spherical fuzzy set (T‐SFS), which is the modified idea of a …
[HTML][HTML] Robotic sensor based on score and accuracy values in q-rung complex diophatine neutrosophic normal set with an aggregation operation
The multiple-attribute decision-making (MADM) problem is resolved through the q-rung
complex diophantine neutrosophic normal set (q-rung CDNNS). An important way to …
complex diophantine neutrosophic normal set (q-rung CDNNS). An important way to …
The distance measures and cross-entropy based on complex fuzzy sets and their application in decision making
The information measures (IMs) of complex fuzzy information are very useful tools in the
areas of machine learning and decision making. In some multi-attribute group decision …
areas of machine learning and decision making. In some multi-attribute group decision …
Hesitant fuzzy N-soft sets: A new model with applications in decision-making
Hesitant fuzzy set theory is a renowned approach to the formal modeling of uncertain data.
An evidence of its success is that it has been extensively used in multi-attribute decision …
An evidence of its success is that it has been extensively used in multi-attribute decision …
Three-way conflict analysis and resolution based on q-rung orthopair fuzzy information
T Li, J Qiao, W Ding - Information Sciences, 2023 - Elsevier
In solving some complex conflict problems, compared with intuitionistic fuzzy sets (IFSs) and
Pythagorean fuzzy sets (PFSs), q-rung orthopair fuzzy sets (q-ROFSs) can better express …
Pythagorean fuzzy sets (PFSs), q-rung orthopair fuzzy sets (q-ROFSs) can better express …
A normal wiggly hesitant fuzzy MABAC method based on CCSD and prospect theory for multiple attribute decision making
Normal wiggly hesitant fuzzy set (NWHFS) is a new fuzzy information form to help decision
makers (DMs) express their evaluations, which can further dig the potential uncertain …
makers (DMs) express their evaluations, which can further dig the potential uncertain …