On cosine fuzzy sets and uncertainty quantification

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 epistemic uncertainties commonly seen in non-probabilistic models. The proposed cosine fuzzy set is able to represent different shapes via a parameter b which operates as the power of a cosine-type function adding flexibility to its behavior. Some special cases, some of its properties and a random variate generation method are described and applied into three examples: a random variate example and uncertainty quantification for two benchmark functions.

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Publication Details

Journal
Engineering Applications of Artificial Intelligence
Published
2024-09-10
DOI
https://doi.org/10.1016/j.engappai.2024.109241
Citations
4
Primary Topic
Multi-Criteria Decision Making
Type
article
Field-Weighted Citation Impact
1.96
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article

On cosine fuzzy sets and uncertainty quantification

Roman Neruda, Juan Carlos Figueroa–García, German Jairo Hernandez-Perez
4 citations
Engineering Applications of Artificial Intelligence
Multi-Criteria Decision Making
1.96
article

On cosine fuzzy sets and uncertainty quantification

Roman Neruda, Juan Carlos Figueroa–García, German Jairo Hernandez-Perez
article en
4 citations

Abstract

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 epistemic uncertainties commonly seen in non-probabilistic models. The proposed cosine fuzzy set is able to represent different shapes via a parameter b which operates as the power of a cosine-type function adding flexibility to its behavior. Some special cases, some of its properties and a random variate generation method are described and applied into three examples: a random variate example and uncertainty quantification for two benchmark functions.

Engineering Applications of Artificial IntelligenceVol. 138
Czech Academy of Sciences (CZ), Universidad Distrital Francisco José de Caldas (CO), Universidad Nacional de Colombia (CO), Czech Academy of Sciences, Institute of Computer Science (CZ)
Climate action
Openalex Percentile: Top 13%
Multi-Criteria Decision Making
1.96
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