Multi-criteria group decision-making based on the interval-valued q-rung orthopair fuzzy SIR approach for green supply chain evaluation and selection
A Luqman, G Shahzadi - Granular Computing, 2023 - Springer
The interval-valued q-rung orthopair fuzzy sets (IV q-ROFSs), considered as a new useful
decision tool, possess a great ability to handle uncertain or vague knowledge in practical …
decision tool, possess a great ability to handle uncertain or vague knowledge in practical …
An approach based on linguistic spherical fuzzy sets for public evaluation of shared bicycles in China
In the context of the booming sharing economy, shared bicycles as an important part of the
sharing economy have been studied by many scholars, and these researches mainly focus …
sharing economy have been studied by many scholars, and these researches mainly focus …
[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 …
A decision-theoretic rough set model with q-rung orthopair fuzzy information and its application in stock investment evaluation
G Tang, F Chiclana, P Liu - Applied Soft Computing, 2020 - Elsevier
Stock investment is characterized by high risk and massive profit, so it is necessary to
propose a scientific and accurate stock assessment and selection method for avoiding …
propose a scientific and accurate stock assessment and selection method for avoiding …
A novel trigonometric operation-based q-rung orthopair fuzzy aggregation operator and its fundamental properties
H Garg - Neural Computing and Applications, 2020 - Springer
The q-rung orthopair fuzzy sets (q-ROFSs) are a prominent idea to express the fuzzy
information in the decision-making process and are the generalization of the existing …
information in the decision-making process and are the generalization of the existing …
Group decision making based on advanced intuitionistic fuzzy weighted Heronian mean aggregation operator of intuitionistic fuzzy values
In this paper, we propose the advanced intuitionistic fuzzy Heronian mean (AIFHM)
aggregation operator (AO) and the advanced intuitionistic fuzzy weighted Heronian mean …
aggregation operator (AO) and the advanced intuitionistic fuzzy weighted Heronian mean …
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 …
Consistency threshold-and score function-based multi-attribute decision-making with Q-rung orthopair fuzzy preference relations
As a general form of intuitionistic fuzzy preference relations (IFPRs) and Pythagorean fuzzy
preference relations (PFPRs), q-rung orthopair fuzzy preference relations (q-ROFPRs) …
preference relations (PFPRs), q-rung orthopair fuzzy preference relations (q-ROFPRs) …
Solving green supplier selection problem using q-rung orthopair fuzzy-based decision framework with unknown weight information
R Krishankumar, Y Gowtham, I Ahmed… - Applied Soft …, 2020 - Elsevier
As a powerful generalization to intuitionistic fuzzy set (IFS), q-rung orthopair fuzzy set (q-
ROFS) is proposed by Yager, which can effectively mitigate the weakness of IFS and provide …
ROFS) is proposed by Yager, which can effectively mitigate the weakness of IFS and provide …
T-spherical fuzzy TODIM method for multi-criteria group decision-making problem with incomplete weight information
Y Ju, Y Liang, C Luo, P Dong, EDRS Gonzalez… - Soft Computing, 2021 - Springer
In this paper, we investigate the multi-criteria group decision-making (MCGDM) problems
with incomplete weight information under T-spherical fuzzy environment. Firstly, motivated …
with incomplete weight information under T-spherical fuzzy environment. Firstly, motivated …