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 …

A hybrid approach based on dual hesitant q-rung orthopair fuzzy Frank power partitioned Heronian mean aggregation operators for estimating sustainable urban …

A Sarkar, S Moslem, D Esztergár-Kiss, M Akram… - … Applications of Artificial …, 2023 - Elsevier
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 …

A novel Aczel-Alsina triangular norm-based group decision-making approach under dual hesitant q-rung orthopair fuzzy context for parcel lockers' location selection

S Gayen, A Biswas, A Sarkar, T Senapati… - … Applications of Artificial …, 2023 - Elsevier
For complex last mile problems, the parcel lockers play an important role in urban areas. So,
selecting a suitable location is very much crucial to provide optimal service and better …

TOPSIS method for probabilistic linguistic MAGDM with entropy weight and its application to supplier selection of new agricultural machinery products

J Lu, C Wei, J Wu, G Wei - Entropy, 2019 - mdpi.com
In multiple attribute group decision making (MAGDM) problems, uncertain decision
information is well-represented by linguistic term sets (LTSs). These LTSs are easily …

The generalized dice similarity measures for probabilistic uncertain linguistic MAGDM and its application to location planning of electric vehicle charging stations

G Wei, R Lin, J Lu, J Wu, C Wei - International Journal of Fuzzy Systems, 2022 - Springer
The location of the electric vehicle charging station (EVCS) is the important link in the
construction of the EVCS. The optimal location of the electric vehicle directly affects the …

Entropy based Pythagorean probabilistic hesitant fuzzy decision making technique and its application for fog-haze factor assessment problem

B Batool, M Ahmad, S Abdullah, S Ashraf, R Chinram - Entropy, 2020 - mdpi.com
The Pythagorean probabilistic hesitant fuzzy set (PyPHFS) is an effective, generalized and
powerful tool for expressing fuzzy information. It can cover more complex and more hesitant …

Models for MAGDM with dual hesitant q‐rung orthopair fuzzy 2‐tuple linguistic MSM operators and their application to COVID‐19 pandemic

S Naz, M Akram, AB Saeid, A Saadat - Expert Systems, 2022 - Wiley Online Library
In this article, we introduce dual hesitant q‐rung orthopair fuzzy 2‐tuple linguistic set (DH q‐
ROFTLS), a new strategy for dealing with uncertainty that incorporates a 2‐tuple linguistic …

Q-rung orthopair fuzzy multiple attribute group decision-making method based on normalized bidirectional projection model and generalized knowledge-based …

Z Liu, X Wang, L Li, X Zhao, P Liu - Journal of Ambient Intelligence and …, 2021 - Springer
The q-rung orthopair fuzzy sets (q-ROFSs) can serve as a generalization of intuitionistic
fuzzy sets (IFSs) and Pythagorean fuzzy sets (PFSs). q-ROFSs provide more freedom for …

EDAS method for multiple attribute group decision making with probabilistic uncertain linguistic information and its application to green supplier selection

Y He, F Lei, G Wei, R Wang, J Wu, C Wei - International Journal of …, 2019 - Springer
In order to adapt to the development of the new times, enterprises should not only care for
the economic benefits, but also properly cope with environmental and social problems to …

Dual hesitant q‐rung orthopair fuzzy Dombi t‐conorm and t‐norm based Bonferroni mean operators for solving multicriteria group decision making problems

A Sarkar, A Biswas - International Journal of Intelligent Systems, 2021 - Wiley Online Library
In this paper, Bonferroni mean (BM) and Dombi t‐conorms and t‐norms (D t‐CN& t‐Ns) are
combined under dual hesitant q‐rung orthopair fuzzy (DH q‐ROF) environment to produce …