Results 41 to 50 of about 1,235,954 (283)

Roughness of soft sets and fuzzy sets in semigroups based on set-valued picture hesitant fuzzy relations

open access: yesAIMS Mathematics, 2022
In the philosophy of rough set theory, the methodologies of rough soft sets and rough fuzzy sets have been being examined to be efficient mathematical tools to deal with unpredictability.
Rukchart Prasertpong
doaj   +1 more source

ROUGH SETS, ROUGH RELATIONS AND ROUGH FUNCTIONS

open access: yesFundamenta Informaticae, 1996
Summary: The paper explores the concepts of approximate relations and functions in the framework of the theory of rough sets. The difficulties with the application of the idea of rough relation to general rough function definition are discussed. The definition of rough function for the domain of real numbers is introduced and its properties are ...
openaire   +5 more sources

Interval Neutrosophic Rough Set [PDF]

open access: yesNeutrosophic Sets and Systems, 2014
This paper combines interval-valued neutrosophic sets and rough sets. It studies rougheness in interval-valued neutrosophic sets and some of its properties. Finally we propose a Hamming distance between lower an upper approximations of interval neutrosophic sets.
Florentin Smarandache, Said Broumi
openaire   +2 more sources

An Adaptive Management Model for Brown Bears in Hokkaido: Based on Total Population and the Number of Nuisance Bears

open access: yesPopulation Ecology, EarlyView.
Bear management changes management actions according to the horizontal axis of the population size and the vertical axis of the number of nuisance bears. Aiming for the target population size of Ntar, Actions I and II protect the bears, and Action IV reduces the population.
Hiroyuki Matsuda   +5 more
wiley   +1 more source

More on neutrosophic soft rough sets and its modification [PDF]

open access: yesNeutrosophic 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  

Axiomatic systems for rough sets and fuzzy rough sets

open access: yesInternational Journal of Approximate Reasoning, 2008
AbstractRough set theory is an important tool for approximate reasoning about data. Axiomatic systems of rough sets are significant for using rough set theory in logical reasoning systems. In this paper, outer product method are used in rough set study for the first time.
openaire   +1 more source

Speciation Through the Lens of Population Dynamics: A Theoretical Primer on How Small and Large Populations Diverge

open access: yesPopulation Ecology, EarlyView.
Population size and dynamics fundamentally shape speciation by influencing genetic drift, founder events, and adaptive potential. Small populations may speciate rapidly due to stronger drift, whereas large populations harbor more genetic diversity, which can alter divergence trajectories. We highlight theoretical models that incorporate population size
Ryo Yamaguchi   +3 more
wiley   +1 more source

Full Rough Sets [PDF]

open access: yesAnnals of Computer Science and Information Systems, 2014
I will analyze Pawlak’s rough sets and extend the usual setting of characterization via an equivalence relation to any arbitrary relation, or a full relation. I extract the specification of rough sets by two operators: probable operator and sure operator.
openaire   +3 more sources

Class Association Rules Mining based Rough Set Method [PDF]

open access: yes, 2015
This paper investigates the mining of class association rules with rough set approach. In data mining, an association occurs between two set of elements when one element set happen together with another. A class association rule set (CARs) is a subset of
Slimani, Thabet
core  

From omics to AI—mapping the pathogenic pathways in type 2 diabetes

open access: yesFEBS Letters, EarlyView.
Integrating multi‐omics data with AI‐based modelling (unsupervised and supervised machine learning) identify optimal patient clusters, informing AI‐driven accurate risk stratification. Digital twins simulate individual trajectories in real time, guiding precision medicine by matching patients to targeted therapies.
Siobhán O'Sullivan   +2 more
wiley   +1 more source

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