Results 71 to 80 of about 156,977 (313)

Soft rough fuzzy sets and soft fuzzy rough sets

open access: yesComputers & Mathematics with Applications, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dan Meng, Xiaohong Zhang 0001, Keyun Qin
openaire   +1 more source

Intelligent Tutoring Systems for Adult Learning in STEM Disciplines

open access: yesNew Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Intelligent tutoring systems (ITS) are reshaping adult learning in STEM by providing adaptive, data‐driven instruction across classrooms, workplaces, and informal environments. In the context of ITS, this article compares generative AI, which creates personalized explanations and practice materials, with explainable AI, which focuses on ...
Jill Zarestky, Amanda R. Lager Gleason
wiley   +1 more source

Grid service discovery with rough sets

open access: yes, 2008
Copyright [2008] IEEE. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Brunel University's products or services.
Wang, Z   +7 more
core   +1 more source

Remote Assessment of Ataxia Severity in SCA3 Across Multiple Centers and Time Points

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Spinocerebellar ataxia type 3 (SCA3) is a genetically defined ataxia. The Scale for Assessment and Rating of Ataxia (SARA) is a clinician‐reported outcome that measures ataxia severity at a single time point. In its standard application, SARA fails to capture short‐term fluctuations, limiting its sensitivity in trials.
Marcus Grobe‐Einsler   +20 more
wiley   +1 more source

SOME PROPERTIES OF INDUCED COVER FROM FAMILY OF COVERING ROUGH SETS

open access: yesTạp chí Khoa học Đại học Đà Lạt, 2017
Rough set theory is an efficient and essential tool for dealing with vagueness and granularity in information systems. Covering based rough set theory is proposed as a significant generalization of classical rough sets.
Nguyễn Đức Thuần
doaj   +1 more source

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

open access: yes
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  

Feasibility and Tolerability of Performing Portable MRI for Neurological Disorders in an Outpatient Neurology Clinic: A Prospective Cohort

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Accessing brain magnetic resonance imaging (MRI) can be challenging, especially for underserved patients, which may lead to disparities in neurological diagnosis. Method This mixed‐methods study enrolled adults with one of four neurological disorders: mild cognitive impairment or dementia of the Alzheimer type, multiple sclerosis ...
Maya L. Mastick   +19 more
wiley   +1 more source

Three-Way Approximations with Covering-Based Rough Set

open access: yesAxioms
In order to approximate an undefinable set of objects by using the extensions in OE-concept lattices, this study combines three-way concept analysis with covering-based rough set and introduces an innovative approach for managing uncertain information ...
Mei Li, Renxia Wan
doaj   +1 more source

The Role of Spatial Context Information in the Generalization of Geographic Information: Using Reducts to Indicate Relevant Attributes

open access: yesISPRS International Journal of Geo-Information, 2020
Generalization of geographic information enables cognition and understanding not only of objects and phenomena located in space but also the relations and processes between them.
Anna Fiedukowicz
doaj   +1 more source

Comparing Rough Set Theory with Multiple Regression Analysis as Automated Valuation Methodologies [PDF]

open access: yes
This paper focuses on the problem of applying rough set theory to mass appraisal. This methodology was first introduced by a Polish mathematician, and has been applied recently as an automated valuation methodology by the author.
Maurizio d’Amato
core  

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