Retraction notice to "Multi-attribute decision making method using advanced Pythagorean fuzzy weighted geometric operator and their applications for real estate company selection" [Heliyon 7 (2021) e07340]. [PDF]
Paul TK, Pal M, Jana C.
europepmc +1 more source
A Multi-Attribute Decision-Making Model for the Selection of Polymer-Based Biomaterial for Orthopedic Industrial Applications. [PDF]
Rizwan A +5 more
europepmc +1 more source
Multi Attributes Decision-making: A Survey
openaire +1 more source
This paper presents a digital microfluidics‐based technique for transferring and reconfiguring soft nanomembranes. Laser‐machined nanothin membranes are picked up, transported, and aligned via tailored surface tension and the actuation of water droplets, enabling the development of flexible electronics, the integration of functional materials on 3D ...
Quang Anh Nguyen +15 more
wiley +1 more source
Application of multi-attribute decision-making combined with BERT-CNN model in the image construction of ice and snow tourism destination. [PDF]
Jin H.
europepmc +1 more source
Hesitant fuzzy multi-attribute decision making based on binary connection number of set pair analysis. [PDF]
Shen Q, Lou J, Liu Y, Jiang Y.
europepmc +1 more source
Orbital Geometry‐Governed Response of Pressure‐Tunable Quantum Defects in hBN
Defects in hBN act as ultrasensitive quantum manometers when the energy of the intradefect optical transitions is modified by lattice compression. The orbital geometry of the electron wave functions governs how electron hopping and Coulomb interactions react uniquely to the reduction of the van der Waals gap and in‐plane compression, leading to robust ...
Magdalena Grzeszczyk +6 more
wiley +1 more source
Lung cancer detection with machine learning classifiers with multi-attribute decision-making system and deep learning model. [PDF]
Meeradevi T +4 more
europepmc +1 more source
Field‐free spin‐orbit torque domain‐wall synapses integrated with stochastic MTJ neurons enable compact hardware Boltzmann machines. Leveraging intrinsic stochasticity and multi‐level conductance, the system achieves efficient probabilistic learning with high accuracy, demonstrating a scalable spintronic platform for energy‐efficient edge AI.
Aijaz H. Lone +8 more
wiley +1 more source

