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A hybrid approach based on dual hesitant q-rung orthopair fuzzy Frank power partitioned Heronian mean aggregation operators for estimating sustainable urban …
Transportation systems are a key part of sustainable development, and they need to be
carefully evaluated to show that they have a strong impact on the target area's social …
carefully evaluated to show that they have a strong impact on the target area's social …
Selection of appropriate global partner for companies using q-rung orthopair fuzzy Aczel–Alsina average aggregation operators
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 …
Complex q-rung orthopair fuzzy 2-tuple linguistic group decision-making framework with Muirhead mean operators
In this study, we aim to develop a method for solving multi-attribute group decision-making
(MAGDM) problems with complex q-rung orthopair fuzzy 2-tuple linguistic sets. First, a …
(MAGDM) problems with complex q-rung orthopair fuzzy 2-tuple linguistic sets. First, a …
Assessment of Hydropower Plants in Pakistan: Muirhead Mean-Based 2-Tuple Linguistic T-spherical Fuzzy Model Combining SWARA with COPRAS
In the study of group decision-making, the most important issue is how to coordinate
opinions from different decision experts (DEs) to reach a consensus under uncertainty. To …
opinions from different decision experts (DEs) to reach a consensus under uncertainty. To …
A new approach to sentiment analysis algorithms: extended SWARA-MABAC method with 2-tuple linguistic q-rung orthopair fuzzy information
S Naz, A Shafiq, SA Butt, R Ijaz - Engineering Applications of Artificial …, 2023 - Elsevier
Sentiment analysis is a process of computationally identifying and categorizing opinions
expressed in a piece of text. It employs several algorithms including Bayesian, support …
expressed in a piece of text. It employs several algorithms including Bayesian, support …
A MAGDM model based on 2-tuple linguistic variables and power Hamacher aggregation operators for optimal selection of digital marketing strategies
S Naz, SS Fatima, SA Butt, N Tabassum - Granular Computing, 2023 - Springer
In this modern marketing and technological era, a strong strategy regarding digital marketing
is crucial for the development of any organization. Digital marketing strategies are a …
is crucial for the development of any organization. Digital marketing strategies are a …
[HTML][HTML] Evaluating alternative low carbon fuel technologies using a stakeholder participation-based q-rung orthopair linguistic multi-criteria framework
It is widely believed that alternative low carbon fuels (ALCF) can be instrumental in
achieving the transportation sector's decarbonization goal. Unlike conventional fossil-based …
achieving the transportation sector's decarbonization goal. Unlike conventional fossil-based …
Group decision-making based on 2-tuple linguistic T-spherical fuzzy COPRAS method
Data mining is a thoroughly advanced method that evaluates and makes more sense of a
variety in electronic commerce (e-commerce)-related knowledge, discovering useful ideas …
variety in electronic commerce (e-commerce)-related knowledge, discovering useful ideas …
[PDF][PDF] Extended CODAS method for MAGDM with 2-tuple linguistic T-spherical fuzzy sets
In the literature, extensions of common fuzzy sets have been proposed one after another.
The recent addition is spherical fuzzy sets theory, which is based on three independent …
The recent addition is spherical fuzzy sets theory, which is based on three independent …
[Retracted] Modified EDAS Method for MAGDM Based on MSM Operators with 2‐Tuple Linguistic T‐Spherical Fuzzy Sets
The coronavirus (COVID‐19) pandemic, which began in China and is fast spreading around
the world, has increased the number of cases and deaths. Governments have suffered …
the world, has increased the number of cases and deaths. Governments have suffered …