@inproceedings{14e55cb5b46646209b6cbd77f14331f8,
title = "Application of Graded Fuzzy Preconcept Lattices in Risk Analysis",
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.",
keywords = "Gradation of Fuzzy Preconcept Lattices, Risk Assessment, Fuzzy Context, Fuzzy Preconcept, Risk Factors, Graded Fuzzy Concept Lattice, Pandemic Scenario",
author = "Maris Krastins and Ingrida Uljane and Alexander Sostak",
note = "Publisher Copyright: Copyright {\textcopyright} 2021 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved.; 13th International Joint Conference on Computational Intelligence, IJCCI 2021 ; Conference date: 25-10-2021 Through 27-10-2021",
year = "2021",
doi = "10.5220/0010656500003063",
language = "English",
isbn = "9789897585340",
volume = "1",
series = "ICETE International Conference on E-Business and Telecommunication Networks (International Joint Conference on Computational Intelligence)",
publisher = "Science and Technology Publications, Lda",
pages = "177--184",
editor = "Thomas Back and Christian Wagner and Jonathan Garibaldi and Lam, \{H. K.\} and Marie Cottrell and Merelo, \{Juan Julian\} and Kevin Warwick",
booktitle = "IJCCI 2021 - Proceedings of the 13th International Joint Conference on Computational Intelligence",
address = "Portugal",
}