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 …
Aczel-Alsina aggregation operators on T-spherical fuzzy (TSF) information with application to TSF multi-attribute decision making
Aczel-Alsina t-norm (TN) and t-conorm (TCN) were proposed by Aczel and Alsina in 1982
are more flexible than the other TN and TCN. Since Aczel-Alsina TN and TCN have a great …
are more flexible than the other TN and TCN. Since Aczel-Alsina TN and TCN have a great …
Utilizing aggregation operators based on q-rung orthopair neutrosophic soft sets and their applications in multi-attributes decision making problems
Neutrosophic sets provide greater versatility in dealing with a variety of uncertainties,
including independent, partially independent, and entirely dependent scenarios, which q …
including independent, partially independent, and entirely dependent scenarios, which q …
Sugeno–Weber triangular norm-based aggregation operators under T-spherical fuzzy hypersoft context
This research work contributes significantly to the current information field by offering an
innovative model named the T-spherical fuzzy hypersoft (T-SFHS) set (T-SFHSS). This …
innovative model named the T-spherical fuzzy hypersoft (T-SFHS) set (T-SFHSS). This …
Novel score functions of generalized orthopair fuzzy membership grades with application to multiple attribute decision making
F Feng, Y Zheng, B Sun, M Akram - Granular Computing, 2022 - Springer
The notion of generalized orthopair fuzzy sets, as a natural extension of both intuitionistic
fuzzy sets and Pythagorean fuzzy sets, provides a more flexible framework for expressing …
fuzzy sets and Pythagorean fuzzy sets, provides a more flexible framework for expressing …
T-spherical fuzzy Einstein hybrid aggregation operators and their applications in multi-attribute decision making problems
T-spherical fuzzy set is a recently developed model that copes with imprecise and uncertain
events of real-life with the help of four functions having no restrictions. This article's aim is to …
events of real-life with the help of four functions having no restrictions. This article's aim is to …
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 …
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 …
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 …
EDAS Method for Multi-Criteria Group Decision Making Based on Intuitionistic Fuzzy Rough Aggregation Operators
The primitive notions of rough sets and intuitionistic fuzzy set (IFS) are general mathematical
tools having the ability to handle the uncertain and imprecise knowledge easily. EDA …
tools having the ability to handle the uncertain and imprecise knowledge easily. EDA …