[HTML][HTML] The theory of prioritized Muirhead mean operators under the presence of complex single-valued neutrosophic values

R Imran, K Ullah, Z Ali, M Akram, T Senapati - Decision Analytics Journal, 2023 - Elsevier
The Muirhead mean (MM) operator is effective and feasible and is used for aggregating the
finite collection of attributes into a singleton set, where the averaging and geometric …

Application of Interval-valued T-spherical Fuzzy Dombi Hamy Mean Operators in the antiviral mask selection against COVID-19

M Sarfraz - Journal of Decision Analytics and Intelligent Computing, 2024 - jdaic-journal.org
This study introduces Interval-valued T-Spherical Fuzzy Dombi Hamy Mean (IVT-SPFDHM)
Operators as a powerful tool for group decision-making. The IVT-SPFDHM operators allow …

Identification of desalination and wind power plants sites using m-polar fuzzy Aczel–Alsina aggregation information

ZU Rahman, G Ali, M Asif, Y Chen, MZU Abidin - Scientific Reports, 2024 - nature.com
Real-world decision-making problems often include multi-polar uncertainties dependent on
multi-dimensional attributes. The m-polar fuzzy (m F) sets can efficiently handle such multi …

A Novel Interval-Valued Decision Theoretic Rough Set Model with Intuitionistic Fuzzy Numbers Based on Power Aggregation Operators and Their Application in …

W Ali, T Shaheen, IU Haq, HG Toor, T Alballa… - Mathematics, 2023 - mdpi.com
Intuitionistic fuzzy information is a potent tool for medical diagnosis applications as it can
represent imprecise and uncertain data. However, making decisions based on this …

A Novel Generalization of Q-Rung Orthopair Fuzzy Aczel Alsina Aggregation Operators and Their Application in Wireless Sensor Networks

W Ali, T Shaheen, IU Haq, T Alballa, A Alburaikan… - Sensors, 2023 - mdpi.com
Q-rung orthopair fuzzy sets have been proven to be highly effective at handling uncertain
data and have gained importance in decision-making processes. Torra's hesitant fuzzy …

Enhancing sustainability in supply chain management using softmax Schweizer-Sklar information aggregation

Y Yasin, M Riaz, R Kausar, M Aslam - Engineering Applications of Artificial …, 2024 - Elsevier
Selecting sustainable suppliers is crucial to achieving sustainability objectives within the
supply chain. However, the inherent complexity and uncertainty associated with evaluating …

3D seismic analysis of mine planning using Aczel–Alsina aggregation operators based on T-spherical fuzzy information

L Ma, K Javed, Z Ali, T Tehreem, S Yin - Scientific Reports, 2024 - nature.com
Abstract 3D seismic attributes analysis can help geologists and mine developers associate
subsurface geological features, structures, faults, and ore bodies more precisely and …

Choquet integral-based Aczel–Alsina aggregation operators for interval-valued intuitionistic fuzzy information and their application to human activity recognition

H Garg, Tehreem, GN Nguyen, T Alballa… - Symmetry, 2023 - mdpi.com
Human activity recognition (HAR) is the process of interpreting human activities with the help
of electronic devices such as computer and machine version technology. Humans can be …

Evaluation and selection of E-learning websites using intuitionistic fuzzy confidence level based Dombi aggregation operators with unknown weight information

MR Seikh, P Chatterjee - Applied Soft Computing, 2024 - Elsevier
In recent years, the surge in online learning has eclipsed traditional classroom teaching,
elevating the prominence of e-learning platforms. However, the quest for a reliable …

Power aggregation operators based on Yager t-norm and t-conorm for complex q-rung orthopair fuzzy information and their application in decision-making problems

X Wu, Z Ali, T Mahmood, P Liu - Complex & Intelligent Systems, 2023 - Springer
The complex q-rung orthopair fuzzy (CQ-ROF) set can describe the complex uncertain
information. In this manuscript, we develop the Yager operational laws based on the CQ …