Results 81 to 90 of about 5,429,485 (293)

Quantitative dominance-based neighborhood rough sets via fuzzy preference relations

, 2021
Dominance relations exist extensively in decision-making problems. Dominance-based neighborhood rough sets (DNRS) using fuzzy preference relations (FPRs) are presented in this article to deal with attribute reduction in the large-scale decision-making ...
Shi, Guang, De Baets, BernardLA268010007382670000-0002-3876-620XF4728EE8-F0ED-11E1-A9DE-61C894A0A6B4, De Baets, Bernard, Jah, Moriba, Yang, Hongying, Yang, Shuyun   +5 more
core   +1 more source

Effective Attribute Reduction Algorithm Based on Fuzzy Uncertainties Using Shared Neighborhood Granulation

IEEE Access
As a very prominent research application of the theory of rough sets, attribute reduction technique has made significant strides in a lot of fields, including decision making, granular computing, etc.
Shengli Gao
doaj   +1 more source

A Novel Neighborhood Rough Set-Based Feature Selection Method and Its Application to Biomarker Identification of Schizophrenia. [PDF]

IEEE J Biomed Health Inform, 2023
Xing Y, Kochunov P, van Erp TGM, Ma T, Calhoun VD, Du Y.   +5 more
europepmc   +1 more source

Flexural Behavior of 3D‐Printed Porous Bouligand‐Structured Polymers: Influence of Pitch Angle and Porosity

Advanced Engineering Materials, EarlyView.
This study examines how helicoidal architectures with different porosities respond to bending. Adjusting layer angle and spacing in 3D‐printed polymers reveals clear tradeoffs between stiffness, strength, and energy absorption. Experiments and simulations highlight designs that distribute stress effectively, offering pathways for optimizing lightweight
Praveenkumar Subhash Patil, Edward D. McCarthy, Parvez Alam   +2 more
wiley   +1 more source

ROUGH BIPOLAR NEUTROSOPHIC SET [PDF]

, 2016
Bipolar neutrosophic set theory and rough neutrosophic set theory are emerging as powerful tool for dealing with uncertainty, and indeterminate, incomlete, and inprecise information. In the present study we develop a hybrid structure called “rough bipoar
Surapati Pramanik*, Kalyan Mondal
core   +1 more source

IF-EMD-SPA: An Information Flow-Based Neighborhood Rough Set Approach for Attribute Reduction

Applied Sciences
High-dimensional mixed data often lack a unified semantic representation for continuous and discrete attributes, which hinders mixed-attribute similarity modeling and can result in unstable reducts and overfitting in existing neighborhood rough set (NRS)
Chunying Zhang, Chen Chen, Guanghui Yang, Siwu Lan, Qingda Zhang   +4 more
doaj   +1 more source

Affecting the Properties of Copper–Graphene Electroconductive Composite by Severe Plastic Deformation

Advanced Engineering Materials, EarlyView.
Copper‐based composites enhanced with carbon feature convenient mechanical properties and favorable electric conductivity. Processing via deformation and thermomechanical treatments can introduce advantageous microstructures further enhancing their performance. Herein, copper–graphene powder‐based composites are directly consolidated via rotary swaging
Radim Kocich, Lenka Kunčická, Pavel Czernek, Zifan Wang   +3 more
wiley   +1 more source

Rough set methodology in meta-analysis - a comparative and exploratory analysis [PDF]

We study the applicability of the pattern recognition methodology "rough set data analysis" (RSDA) in the field of meta analysis. We give a summary of the mathematical and statistical background and then proceed to an application of the theory to a meta ...
Rupp, Thomas
core  

Inverse Identification of Energy‐Dependent Laser Absorptivity in NiTi Laser Powder‐Bed Fusion via Calibrated Melt Pool Simulation

Advanced Engineering Materials, EarlyView.
A combined experimental–computational framework identifies energy‐dependent laser absorptivity for NiTi in laser powder‐bed fusion, applicable to conduction and transition modes. Single‐track experiments and thermofluid smoothed particle hydrodynamics simulations are coupled through inverse analysis of melt pool geometry.
Mohamadreza Afrasiabi, Hadi Moutablaleh, Ignatius A. Setiawan, Mehrshad Mehrpouya   +3 more
wiley   +1 more source

Neighborhood granules and rough rule-base in tracking

, 2016
This paper deals with several new methodologies and concepts in the area of rough set theoretic granular computing which are then applied in video tracking. A new concept of neighborhood granule formation over images is introduced here.
Chakraborty, Debarati Bhunia, Pal, Sankar K.   +1 more
core   +1 more source