A review of q-rung orthopair fuzzy information: bibliometrics and future directions
X Peng, Z Luo - Artificial Intelligence Review, 2021 - Springer
The q-rung orthopair fuzzy set (q-ROFS), initiated by Yager, is a novel tool to dispose of
indeterminacy that considers the membership μ μ and non-membership ν ν, which satisfy the …
indeterminacy that considers the membership μ μ and non-membership ν ν, which satisfy the …
An extended MARCOS approach and generalized Dombi aggregation operators-based group decision-making for emergency logistics suppliers selection utilizing q …
Y Rong, L Yu - Granular Computing, 2024 - Springer
The evaluation and selection of emergency logistics suppliers (ELSs) is of great significance
for improving the disaster relief material reserve system and enhancing the efficient …
for improving the disaster relief material reserve system and enhancing the efficient …
A study on hypergraph representations of complex fuzzy information
The paradigm shift prompted by Zadeh's fuzzy sets in 1965 did not end with the fuzzy model
and logic. Extensions in various lines have produced eg, intuitionistic fuzzy sets in 1983 …
and logic. Extensions in various lines have produced eg, intuitionistic fuzzy sets in 1983 …
Spherical fuzzy graphs with application to decision-making
In a network model, the evaluation information given by decision makers are occasionally of
types: yes, abstain, no, and refusal. To deal with such problems, we use mathematical …
types: yes, abstain, no, and refusal. To deal with such problems, we use mathematical …
Hybridizing simulated annealing and genetic algorithms with Pythagorean fuzzy uncertainty for traveling salesman problem optimization
The traveling salesman problem is a classic combinatorial optimization challenge with
profound implications for various industries. While significant progress has been made in …
profound implications for various industries. While significant progress has been made in …
Parameter reductions of bipolar fuzzy soft sets with their decision-making algorithms
Parameter reduction is a very important technique in many fields, including pattern
recognition. Many reduction techniques have been reported for fuzzy soft sets to solve …
recognition. Many reduction techniques have been reported for fuzzy soft sets to solve …
q-Rung orthopair fuzzy graphs under Hamacher operators
A q-rung orthopair fuzzy set (q-ROFS) is more practical and powerful than intuitionistic fuzzy
set (IFS) and Pythagorean fuzzy set (PFS) to model uncertainty in various decision-making …
set (IFS) and Pythagorean fuzzy set (PFS) to model uncertainty in various decision-making …
Fuzzy sets and their extensions: literature review on fuzzy extensions of AHP
Abstract The Analytic Hierarchy Process (AHP) has been extensively utilized in multi-criteria
decision making. Fuzzy sets have been widely employed to extend it under vagueness and …
decision making. Fuzzy sets have been widely employed to extend it under vagueness and …
Pythagorean fuzzy soft graphs with applications
A Pythagorean fuzzy soft set, an extension of intuitionistic fuzzy soft set, plays an essential
role to handle the vagueness in many real-life problems. We apply this concept to graph …
role to handle the vagueness in many real-life problems. We apply this concept to graph …
Granulation of Hypernetwork Models under the q-Rung Picture Fuzzy Environment
In this paper, we define q-rung picture fuzzy hypergraphs and illustrate the formation of
granular structures using q-rung picture fuzzy hypergraphs and level hypergraphs. Further …
granular structures using q-rung picture fuzzy hypergraphs and level hypergraphs. Further …