Expressing Measurement Uncertainty in OCL/UML Datatypes [PDF]
, 2018 Uncertainty is an inherent property of any measure or estimation performed in any physical setting, and therefore it needs to be considered when modeling systems that manage real data.
A Jiménez-Ramírez +11 more
core +1 more source
Portfolio Selection by Robust Optimization [PDF]
تحقیقات مالی, 2014 This paper discusses the portfolio selection based on robust optimization. Since the parameters values of the portfolio optimization problem such as price of the stock, dividends, returns, etc.
Azin Abrishami, Reza Yousefi Zenouz
doaj +1 more source
Reasoning about context in uncertain pervasive computing environments [PDF]
, 2008 Context-awareness is a key to enabling intelligent adaptation in pervasive computing applications that need to cope with dynamic and uncertain environments.
A. Padovitz +10 more
core +1 more source
Multi-Valued Q-Neutrosophic Computation for Enhancing the Digital Media Content Creation and Editing with Computer Assistance [PDF]
Neutrosophic Sets and SystemsIn the era of modern content production, evaluating digital creation tools across diverse hardware environments and user perspectives involves inherent vagueness, uncertainty, and subjectivity.
Shanshan Zhang
doaj +1 more source
Model uncertainty – parameter uncertainty versus conceptual models
Water Science and Technology, 2005 Uncertainties in model structures have been recognised often to be the main source of uncertainty in predictive model simulations. Despite this knowledge, uncertainty studies are traditionally limited to a single deterministic model and the uncertainty addressed by a parameter uncertainty study.
A L, Højberg, J C, Refsgaard
openaire +2 more sources
Evaluation of touch trigger probe measurement uncertainty using FEA [PDF]
, 2006 Evaluation of measurement uncertainty is an essential subject in dimensional measurement. It has also become a dominant issue in coordinate measuring machine (CMM) even though its machine performance has been well accepted by many users.
Jones, BE, Salleh, MR, Yang, QP
core +1 more source
Quantified Uncertainty in Thermodynamic Modeling for Materials Design [PDF]
, 2019 Phase fractions, compositions and energies of the stable phases as a function of macroscopic composition, temperature, and pressure (X-T-P) are the principle correlations needed for the design of new materials and improvement of existing materials.
Bocklund, Brandon J +4 more
core +2 more sources
A Neutrosophic Reflexive Disruption Evolutionary Integral Model for Evaluating the Quality of University Online Education Interactive Platforms Under Teaching Resource Integration [PDF]
Neutrosophic Sets and SystemsThis paper presents a new mathematical model for evaluating the quality of university online education platforms, especially in environments where multiple teaching resources are being integrated.
Jingjie Li, Xiaoying Zhu
doaj +1 more source
A Novel Neutrosophic Integral Framework for Classroom Teaching Quality Analysis in Children’s Dance Aesthetic Education [PDF]
Neutrosophic Sets and SystemsEvaluating classroom teaching quality in children’s dance aesthetic education is challenging due to uncertainty, subjective judgment, and multiple viewpoints.
Xinxin Li
doaj +1 more source
A Refined Neutrosophic Over/Under Probability Model with Off-Norm Operators for Evaluating the Efficiency of AI-Based Digital Tools in Korean Language Teaching [PDF]
Neutrosophic Sets and SystemsThis paper presents a new mathematical model based on refined neutrosophic theory to evaluate the efficiency of AI-based digital tools in Korean language teaching.
Ting Yu
doaj +1 more source