Results 21 to 30 of about 1,121,216 (274)

Green Supply Chain Management Capability Evaluation Using Neutrosophic TwoFold Algebra Decision Model [PDF]

open access: yesNeutrosophic Sets and Systems
Green Supply Chain Management (GSCM) has become a priority for organizations striving to improve sustainability while maintaining competitiveness. However, assessing GSCM capabilities is complicated by the uncertain, ambiguous, and interrelated nature of
Hui Wang
doaj   +1 more source

Modeling Emergency Logistics Location-Allocation Problem with Uncertain Parameters

open access: yesSystems, 2022
In order to model the emergency facility location-allocation problem with uncertain parameters, an uncertain multi-objective model is developed within the framework of uncertainty theory.
Hui Li, Bo Zhang, Xiangyu Ge
doaj   +1 more source

Uncertainty Analysis of the Adequacy Assessment Model of a Distributed Generation System [PDF]

open access: yes, 2012
Due to the inherent aleatory uncertainties in renewable generators, the reliability/adequacy assessments of distributed generation (DG) systems have been particularly focused on the probabilistic modeling of random behaviors, given sufficient informative
Li, Yanfu, Zio, Enrico
core   +3 more sources

Data granulation by the principles of uncertainty [PDF]

open access: yes, 2015
Researches in granular modeling produced a variety of mathematical models, such as intervals, (higher-order) fuzzy sets, rough sets, and shadowed sets, which are all suitable to characterize the so-called information granules.
Livi, Lorenzo, Sadeghian, Alireza
core   +1 more source

Machine learning models predict the emergence of depression in Argentinean college students during periods of COVID-19 quarantine

open access: yesFrontiers in Psychiatry
IntroductionThe COVID-19 pandemic has exacerbated mental health challenges, particularly depression among college students. Detecting at-risk students early is crucial but remains challenging, particularly in developing countries.
Lorena Cecilia López Steinmetz   +8 more
doaj   +1 more source

Probabilistic Conflict Detection Using Heteroscedastic Gaussian Process and Bayesian Optimization

open access: yesIEEE Access, 2023
Conflict detection plays a crucial role in ensuring flight safety and efficiency and is a critical component of an air traffic control system. Despite the availability of tools to support air traffic controllers in identifying potential conflicts, their ...
Duc-Thinh Pham   +3 more
doaj   +1 more source

Modeling Extragalactic Foregrounds and Secondaries for Unbiased Estimation of Cosmological Parameters From Primary CMB Anisotropy [PDF]

open access: yes, 2011
Using the latest physical modeling and constrained by the most recent data, we develop a phenomenological parameterized model of the contributions to intensity and polarization maps at millimeter wavelengths from external galaxies and Sunyaev-Zeldovich ...
Amblard   +54 more
core   +2 more sources

Modeling, Optimization, and Analysis of a Virtual Power Plant Demand Response Mechanism for the Internal Electricity Market Considering the Uncertainty of Renewable Energy Sources

open access: yesEnergies, 2022
The penetration of renewable energy sources (RESs) in the electrical power system has increased significantly over the past years due to increasing global concern about climate change. However, integrating RESs into the power market is highly problematic.
Zahid Ullah, Arshad, Hany Hassanin
doaj   +1 more source

Marks: A New Interval Tool for Uncertainty, Vagueness and Indiscernibility

open access: yesMathematics, 2021
The system of marks created by Dr. Ernest Gardenyes and Dr. Lambert Jorba was first published as a doctoral thesis in 2003 and then as a chapter in the book Modal Interval Analysis in 2014.
Miguel A. Sainz   +4 more
doaj   +1 more source

Robustness and performance trade-offs in control design for flexible structures [PDF]

open access: yes, 1994
Linear control design models for flexible structures are only an approximation to the “real” structural system. There are always modeling errors or uncertainty present.
Balas, Gary J., Doyle, John C.
core   +1 more source

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