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Authors: Māris Krastiņš 1 ; Ingrīda Uļjane 1 ; 2 and Alexander Šostak 1 ; 2

Affiliations: 1 Department of Mathematics, University of Latvia, Jelgavas iela 3, Riga, Latvia ; 2 Institute of Mathematics and Computer Science University of Latvia, Raiņa bulvāris 29, Riga, Latvia

Keyword(s): Risk Assessment, Risk Factors, Fuzzy Context, Graded Fuzzy Concept Lattice, Fuzzy Preconcept, Gradation of Fuzzy Preconcept Lattices, Pandemic Scenario.

Abstract: Fuzzy logic has a wide range of applications in the risk assessment based on expert opinion. Several methods have been used for this purpose with fuzzy implication systems being among the most popular. While these standard tools have proven their usefulness, we propose the application of an alternative approach. In this paper we analyse the possibility of using the graded fuzzy preconcept lattices in introducing the risk assessment model. We have also provided the necessary information on the theoretical basis of the graded fuzzy preconcept lattices introduced by the authors earlier.

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Paper citation in several formats:
Krastiņš, M.; Uļjane, I. and Šostak, A. (2021). Application of Graded Fuzzy Preconcept Lattices in Risk Analysis. In Proceedings of the 13th International Joint Conference on Computational Intelligence (IJCCI 2021) - FCTA; ISBN 978-989-758-534-0; ISSN 2184-3236, SciTePress, pages 177-184. DOI: 10.5220/0010656500003063

@conference{fcta21,
author={Māris Krastiņš. and Ingrīda Uļjane. and Alexander Šostak.},
title={Application of Graded Fuzzy Preconcept Lattices in Risk Analysis},
booktitle={Proceedings of the 13th International Joint Conference on Computational Intelligence (IJCCI 2021) - FCTA},
year={2021},
pages={177-184},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010656500003063},
isbn={978-989-758-534-0},
issn={2184-3236},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Computational Intelligence (IJCCI 2021) - FCTA
TI - Application of Graded Fuzzy Preconcept Lattices in Risk Analysis
SN - 978-989-758-534-0
IS - 2184-3236
AU - Krastiņš, M.
AU - Uļjane, I.
AU - Šostak, A.
PY - 2021
SP - 177
EP - 184
DO - 10.5220/0010656500003063
PB - SciTePress

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