Application of Graded Fuzzy Preconcept Lattices in Risk Analysis

Māris Krastiņš, Ingrīda Uļjane, Ingrīda Uļjane, Alexander Šostak, Alexander Šostak

2021

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.

Paper Citation

in Harvard Style

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) - Volume 1: FCTA; ISBN 978-989-758-534-0, SciTePress, pages 177-184. DOI: 10.5220/0010656500003063

in Bibtex Style

@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) - Volume 1: FCTA},
year={2021},
pages={177-184},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010656500003063},
isbn={978-989-758-534-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Computational Intelligence (IJCCI 2021) - Volume 1: FCTA
TI - Application of Graded Fuzzy Preconcept Lattices in Risk Analysis
SN - 978-989-758-534-0
AU - Krastiņš M.
AU - Uļjane I.
AU - Šostak A.
PY - 2021
SP - 177
EP - 184
DO - 10.5220/0010656500003063
PB - SciTePress