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More on neutrosophic soft rough sets and its modification [PDF]
Neutrosophic Sets and Systems, 2015 This paper aims to introduce and discuss anew mathematical tool for dealing with uncertainties, which is a combination of neutrosophic sets, soft sets and rough sets, namely neutrosophic soft rough set model. Also, its modification is introduced. Some of
Emad Marei
doaj
Arthritis Care &Research, Accepted Article.Over the past 50 years, the science of pediatric rheumatology has grown exponentially due to an expansion in the understanding of complex rheumatic conditions and a surge in novel targeted therapeutics. Physician‐scientists in the field of pediatric rheumatology have played major roles in these advancements that have improved the care of children ...
Ekemini A. Ogbu +2 more
wiley +1 more source
Feature selection based on neighborhood rough sets and Gini index. [PDF]
PeerJ Comput Sci, 2023 Zhang Y +8 more
europepmc +1 more source
A breast cancer diagnosis system: a combined approach using rough sets and probabilistic neural networks [PDF]
, 2005 In this paper, we present a medical decision support system based on a hybrid approach utilising rough sets and a probabilistic neural network. We utilised the ability of rough sets to perform dimensionality reduction to eliminate redundant attributes ...
El-Darzi, E. +9 more
core
Advanced Engineering Materials, Volume 27, Issue 6, March 2025.The stability criteria affecting the formation of high‐entropy alloys, particularly focusing in supersaturated solid solutions produced by mechanical alloying, are analyzed. Criteria based on Hume–Rothery rules are distinguished from those derived from thermodynamic relations. The formers are generally applicable to mechanically alloyed samples.
Javier S. Blázquez +5 more
wiley +1 more source
Comparative Overview of Rough Set Toolkit Systems for Data Analysis
MATEC Web of Conferences, 2019 Inconsistency, lacking values of attributes or parameters, as well as discrepancies between records caused by insufficient precision cannot always be managed in the initial phases of knowledge discovery, i.e., data preparation and refinement.
Pięta Piotr +2 more
doaj +1 more source
Thermoreflectance Detection of Point Defects Resulting from Focused Ion Beam Milling
Advanced Engineering Materials, EarlyView.Focused ion beam (FIB) milling is a common tool for nanoscale material processing, however irradiation damage, redeposition, and contamination can occur. We use several characterization tools to show FIB‐induced effects beyond 1 mm from the milled area.
Thomas W. Pfeifer +3 more
wiley +1 more source
Rough-Fuzzy Clustering Based on Two-Stage Three-Way Approximations
IEEE Access, 2018 A general framework of rough-fuzzy clustering based on two-stage three-way approximations is presented in this paper. The proposed framework can deal with the uncertainties caused by the membership degree distributions of patterns.
Jie Zhou +4 more
doaj +1 more source
Rough sets models inspired by supra-topology structures. [PDF]
Artif Intell Rev, 2023 Al-Shami TM, Alshammari I.
europepmc +1 more source
Advanced Engineering Materials, EarlyView.Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source