Group decision-making based on complex spherical fuzzy VIKOR approach
M Akram, C Kahraman, K Zahid - Knowledge-Based Systems, 2021 - Elsevier
The main objective of this study is to set up the foundations of a new model, namely,
complex spherical fuzzy (CSF) model that is highly proficient to express the two dimensional …
complex spherical fuzzy (CSF) model that is highly proficient to express the two dimensional …
Fermatean fuzzy set extensions of SAW, ARAS, and VIKOR with applications in COVID‐19 testing laboratory selection problem
S Gül - Expert Systems, 2021 - Wiley Online Library
The multiple attribute decision‐making models are empowered with the support of fuzzy sets
such as intuitionistic, q‐rung orthopair, Pythagorean, and picture fuzzy sets, and also …
such as intuitionistic, q‐rung orthopair, Pythagorean, and picture fuzzy sets, and also …
Decision‐making framework for an effective sanitizer to reduce COVID‐19 under Fermatean fuzzy environment
The purpose of this article is to develop some general aggregation operators (AOs) based
on Einstein's norm operations, to cumulate the Fermatean fuzzy data in decision‐making …
on Einstein's norm operations, to cumulate the Fermatean fuzzy data in decision‐making …
Knowledge measure for the q‐rung orthopair fuzzy sets
The q‐rung orthopair fuzzy set (qROFS) defined by Yager is a generalization of Atanassov
intuitionistic fuzzy set and Pythagorean fuzzy sets. In this paper, we define the knowledge …
intuitionistic fuzzy set and Pythagorean fuzzy sets. In this paper, we define the knowledge …
Algorithms for complex interval‐valued q‐rung orthopair fuzzy sets in decision making based on aggregation operators, AHP, and TOPSIS
The interval‐valued q‐rung orthopair fuzzy set (IVq‐ROFS) and complex fuzzy set (CFS) are
two generalizations of the fuzzy set (FS) to cope with uncertain information in real decision …
two generalizations of the fuzzy set (FS) to cope with uncertain information in real decision …
Entropy measure and TOPSIS method based on correlation coefficient using complex q-rung orthopair fuzzy information and its application to multi-attribute decision …
Entropy measure (EM) and similarity measure (SM) are important techniques in the
environment of fuzzy set (FS) theory to resolve the similarity between two objects. The q …
environment of fuzzy set (FS) theory to resolve the similarity between two objects. The q …
Complex linear Diophantine fuzzy sets and their cosine similarity measures with applications
H Kamacı - Complex & Intelligent Systems, 2022 - Springer
In this paper, the concept of complex linear Diophantine fuzzy set (CLDFS), which is
obtained by integrating the phase term into the structure of the linear Diophantine fuzzy set …
obtained by integrating the phase term into the structure of the linear Diophantine fuzzy set …
An approach to MADM based on Aczel-Alsina power Bonferroni aggregation operators for q-rung orthopair fuzzy sets
The power Bonferroni mean (PBM) is a combined networking system that can benefit both
the power average (PA) operator, which might attenuate the effects of irrational data …
the power average (PA) operator, which might attenuate the effects of irrational data …
Another view of complex intuitionistic fuzzy soft sets based on prioritized aggregation operators and their applications to multiattribute decision making
In a conventional interpretation of decision-making based on ambiguity, a decision-maker
must prefer the best possible opportunity including various feasible possibilities. However …
must prefer the best possible opportunity including various feasible possibilities. However …
Multi-attribute decision-making with q-rung picture fuzzy information
Abstract q-rung picture fuzzy sets can handle complex fuzzy and impression information by
changing a parameter q based on the different hesitation degree and yield a flexible …
changing a parameter q based on the different hesitation degree and yield a flexible …