Results 61 to 70 of about 3,229 (278)

Overlap Functions Based (Multi-Granulation) Fuzzy Rough Sets and Their Applications in MCDM

, 2021
Through a combination of overlap functions (which have symmetry and continuity) and a fuzzy β-covering fuzzy rough set (FCFRS), a new class of FCFRS models is established, and the basic properties of the new fuzzy β-neighborhood lower and upper ...
Xiaohong Zhang, Xiaofeng Wen
core   +1 more source

Comprehensive Characterization of 98 Chinese Cases of Genetic Creutzfeldt‐Jakob Disease With T188K Mutation

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To characterize the demographic, clinical, and laboratory features of the Chinese patients of genetic Creutzfeldt‐Jakob disease with T188K variant (T188K‐gCJD), the most common subtype of genetic prion diseases (gPrDs) in China. Methods In this nationwide retrospective study, data from 98 genetically confirmed T188K‐gCJD patients ...
Chun‐Jie Li, Dong‐Lin Liang, Li‐Ping Gao, Wei‐Wei Zhang, Wei Zhou, A. Ruhan, Bing Xu, Run‐Dong Cao, Kang Xiao, Cao Chen, Qi Shi, Xiao‐Ping Dong   +11 more
wiley   +1 more source

Neighborhood conditional mutual information entropy attribute reduction algorithm for hybrid data

大数据, 2022
Attribute reduction is an important research content of the rough set theory.Its main purpose is to eliminate irrelevant attributes in information systems, reduce data dimensions and improve data knowledge discovery performance.However, most of the ...
Haibo LAN
doaj  

Neurochemical Endpoints to Inform Early‐Stage Trials of Spinocerebellar Ataxia 2 and 3 in a Multisite Setting

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Neurochemical levels measured by brain MR spectroscopy (MRS) have been proposed as endpoints for clinical trials in early‐stage spinocerebellar ataxia (SCA) trials. We tested their trial‐readiness by quantifying neurochemicals in three affected brain regions in early‐stage cohorts of SCA2 and SCA3, examining their reproducibility in ...
James M. Joers, Yaqiao Wei, Dinesh K. Deelchand, Adam Berrington, Young Woo Park, Guita Banan, Michal Povazan, Jens T. Rosenberg, André J. W. van der Kouwe, Tetsuo Ashizawa, Khalaf O. Bushara, Chiadi U. Onyike, Sub H. Subramony, Jeremy D. Schmahmann, Brian J. Soher, Peter B. Barker, Thomas H. Mareci, Eva‐Maria Ratai, Lynn E. Eberly, Gülin Öz   +19 more
wiley   +1 more source

Intuitionistic Fuzzy Neighborhood Rough Set Model for Feature Selection

, 2018
Feature selection is one of the widely used pre-processing techniques to deal with large data sets. In this context, rough set theory has been successfully implemented for feature selection of discrete data set but in case of continuous data set it ...
Anoop Kumar Tiwari, Tanmoy Som, Shivam Shreevastava   +2 more
core   +1 more source

Study on Interval-valued Dual Hesitant Fuzzy β Covering Rough Set Model

Journal of Harbin University of Science and Technology
To effectively handle the problem of decision-making with interval-valued hesitant fuzzy information, this paper proposes four models of interval-valued dual hesitant fuzzy β coverage rough sets,which are combined with interval-valued dual hesitant fuzzy
REN Haowei, WANG Qinghai
doaj   +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

Feature Selection Using Neighborhood Positive Approximation Rough Set

, 2018
Attribute reduction and feature selection is the main issue in rough set. Researchers have focused on several attribute reduction using rough set. However, the methods found are time consuming for large data sets.
Leena Homraj Patil, Mohammad Atique
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

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