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 …

[HTML][HTML] A q-rung orthopair fuzzy ARAS method based on entropy and discrimination measures: an application of sustainable recycling partner selection

AR Mishra, P Rani - Journal of Ambient Intelligence and Humanized …, 2023 - Springer
The necessity and policy of eco-economy stimulate enterprises to attain sustainability by
executing supply chain management. Generally, the evaluation process of sustainable …

Group decision making based on q-rung orthopair fuzzy weighted averaging aggregation operator of q-rung orthopair fuzzy numbers

K Kumar, SM Chen - Information Sciences, 2022 - Elsevier
In this paper, we propose the q-rung orthopair fuzzy weighted averaging (q-ROFWA)
aggregation operator (AO) of q-rung orthopair fuzzy numbers (q-ROFNs). The proposed q …

Knowledge measure for the q‐rung orthopair fuzzy sets

MJ Khan, P Kumam, M Shutaywi - International Journal of …, 2021 - Wiley Online Library
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 …

A novel belief χ 2 χ^2 divergence for multisource information fusion and its application in pattern classification

L Zhang, F Xiao - International Journal of Intelligent Systems, 2022 - Wiley Online Library
Abstract Dempster–Shafer (D‐S) evidence theory is invaluable in the domain of multisource
information fusion for handing uncertainty problems. However, there may be counter …

Multi-criteria weighted aggregated sum product assessment framework for fuel technology selection using q-rung orthopair fuzzy sets

P Rani, AR Mishra - Sustainable Production and Consumption, 2020 - Elsevier
Fleet operators periodically update and improve their vehicles in order to take opportunity of
new technologies. Alternative-fuel vehicles give opportunities to lower fuel costs as well as …

Uncertainty measures for probabilistic hesitant fuzzy sets in multiple criteria decision making

B Farhadinia, U Aickelin… - International Journal of …, 2020 - Wiley Online Library
This contribution reviews critically the existing entropy measures for probabilistic hesitant
fuzzy sets (PHFSs), and demonstrates that these entropy measures fail to effectively …

Group decision-making method based on advanced aggregation operators with entropy and divergence measures under 2-tuple linguistic Pythagorean fuzzy …

R Verma, E Álvarez-Miranda - Expert Systems with Applications, 2023 - Elsevier
tuple linguistic Pythagorean fuzzy values (2TLPFVs) are flexible and more efficient tools to
represent fuzzy linguistic information in complex real-world situations than 2-tuple linguistic …

[HTML][HTML] Entropy and discrimination measures based q-rung orthopair fuzzy MULTIMOORA framework for selecting solid waste disposal method

AR Mishra, P Rani, D Pamucar, IM Hezam… - … Science and Pollution …, 2023 - Springer
Fastest growing population, rapid urbanization, and growth in the disciplines of science and
technology cause continually development in the amount and diversity of solid waste. In …

A two-stage multi-criteria decision-making method with interval-valued q-Rung Orthopair fuzzy technology for selecting bike-sharing recycling supplier

Y Xu - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
Bike-Sharing has rapidly attracted worldwide attention for its benefits, such as easing traffic
congestion and reducing greenhouse gases. However, the waste of resources and …