Results 71 to 80 of about 1,718,703 (323)
Study on Interval-valued Dual Hesitant Fuzzy β Covering Rough Set Model
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
Neighborhood Rough Set based Multi-document Summarization
This research paper proposes a novel Neighbourhood Rough Set based approach for supervised Multi-document Text Summarization (MDTS) with analysis and impact on the summarization results for MDTS. Here, Rough Set based LERS algorithm is improved using Neighborhood Rough Set which is itself a novel combination called Neighborhood-LERS to be experimented ...
openaire +3 more sources
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 +11 more
wiley +1 more source
A roughness measure for fuzzy sets [PDF]
Recently, an attempt of integration between the theories of fuzzy sets and rough sets has resulted in providing a roughness measure for fuzzy sets (Banerjee and Pal, 1996).
Nakamori, Yoshiteru, Huynh, Van-Nam
core +1 more source
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 +19 more
wiley +1 more source
A new type of soft multi rough sets
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
Data‐Driven SuStaIn Model of Disability Progression in Amyotrophic Lateral Sclerosis
ABSTRACT Objective To determine whether ordinal Subtype and Stage Inference (SuStaIn) applied to routine ALSFRS‐R item scores can identify reproducible disability progression patterns in amyotrophic lateral sclerosis (ALS) and provide clinically meaningful staging.
Giammarco Milella +5 more
wiley +1 more source
A Logic Programming Framework for Rough Sets
We propose a framework for defining and reasoning about rough sets based on definite extended logic programs. Moreover, we introduce a rough-set-specific query language. Several motivating examples are also presented.
Vitoria, Aida, +3 more
core +1 more source
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 +6 more
wiley +1 more source
Recently, multilabel classification is of increasing interest in machine learning and artificial intelligence. However, the distances of samples in most Relief methods easily result in heterogeneous or similar samples abnormal when the distances are very
Miaomiao Huang +3 more
doaj +1 more source

