[HTML][HTML] On cosine fuzzy sets and uncertainty quantification
JC Figueroa-García, R Neruda… - … Applications of Artificial …, 2024 - Elsevier
This paper presents a definition of a generalized cosine-based fuzzy set, its application into
simulation problems and uncertainty quantification in order to cover both aleatoric and …
simulation problems and uncertainty quantification in order to cover both aleatoric and …
Fuzzy Granular Computing for Evaluating Average Uncertainty in Machine Learning Models
Realistic evaluation of uncertainty is crucial for informed decision-making in machine
learning (ML) models. Our study introduces a pioneering approach to quantify uncertainty in …
learning (ML) models. Our study introduces a pioneering approach to quantify uncertainty in …
Optimal Decision Making for Accelerating Scientific Discovery
HM Woo - 2022 - oaktrust.library.tamu.edu
Scientific discovery is the process of finding answers to scientific inquiries. Scientific
discovery forms the basis of scientific/engineering applications as it serves as an operational …
discovery forms the basis of scientific/engineering applications as it serves as an operational …