Results 101 to 110 of about 156,977 (313)

A new type of soft multi rough sets

Demonstratio Mathematica
Soft multi rough sets which are a hybrid model combining rough sets with soft multisets are defined by using soft multi rough approximation operators. Soft multi rough sets can be seen as a generalized rough set model based on soft multisets.
Güzel Ergül Zehra
doaj   +1 more source

Rough Mereology

, 1994
. We show how to organize a collection of intelligent cooperating agents into a rough mereological controller for the purpose of assembling a complex object with desired quality from its elementary parts.
Lech Polkowski, Andrzej Skowron, Rough Mereology   +2 more
core  

A novel attribute reduction algorithm based on peer-to-peer technique and rough set theory

, 2010
Rough Set theory is an effective tool to deal with vagueness and uncertainty information to select the most relevant attributes for a decision system. However, to find the minimum attributes is a NP-hard problem.
null Peng Wen, Wen, Peng, Ma, Guangzhi, null Yansheng Lu, Engmin Song, Song, Engmin, Guangzhi Ma, Lu, Yansheng   +7 more
core   +1 more source

Formal and Informal Social Care in People With Rheumatic and Musculoskeletal Diseases: A Cross‐Sectional Multicenter Survey

Arthritis Care &Research, EarlyView.
Objective Rheumatic and musculoskeletal diseases (RMDs) are leading causes of physical disability, necessitating support with activities of daily living. This study describes social care received by patients with RMDs in two disparate regions of England: Salford (urban) and Norfolk (rural).
Mehreen Somro, Karen Durrant, William G. Dixon, John McBeth, Alex MacGregor, Max Yates, Jenny H. Humphreys   +6 more
wiley   +1 more source

Attribute Reduction Based on Consistent Covering Rough Set and Its Application

Complexity, 2017
As an important processing step for rough set theory, attribute reduction aims at eliminating data redundancy and drawing useful information. Covering rough set, as a generalization of classical rough set theory, has attracted wide attention on both ...
Jianchuan Bai, Kewen Xia, Yongliang Lin, Panpan Wu   +3 more
doaj   +1 more source

A scalable and effective rough set theory-based approach for big data pre-processing

, 2020
International audienceA big challenge in the knowledge discovery process is to perform data pre-processing, specifically feature selection, on a large amount of data and high dimensional attribute set.
Lebbah, Mustapha, Chelly Dagdia, Zaineb, Christine Zarges, Beck, Gaël, Gaël Beck, Zaineb Chelly Dagdia, Mustapha Lebbah, Zarges, Christine   +7 more
core   +1 more source

Physician‐Scientist Pipeline for Pediatric Rheumatology: The Current Landscape and Future Perspectives

Arthritis Care &Research, EarlyView.
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, Linda T. Hiraki, Mara L. Becker   +2 more
wiley   +1 more source

Rough Sets of System

, 2007
The classical rough set theory mostly emphasizes the differentiation among the elements of the universe, but does not investigate the structure of the universe. This paper extends rough set theory from the set to the system, making it not only can well classify elements of the universe but also can reveal the interrelation among elements of the ...
Dong Qiu, Lan Shu
openaire   +1 more source

Revisiting Stability Criteria in Ball‐Milled High‐Entropy Alloys: Do Hume–Rothery and Thermodynamic Rules Equally Apply?

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, Alejandro F. Manchón‐Gordón, Antonio Vidal‐Crespo, Rafael Caballero‐Flores, Jhon J. Ipus, Clara F. Conde   +5 more
wiley   +1 more source

RST: Rough Set Transformer for Point Cloud Learning. [PDF]

Sensors (Basel), 2023
Sun X, Zeng K.
europepmc   +1 more source