Szczegóły publikacji
Opis bibliograficzny
Application of MCDA methods in solving safety problems / Judyta CIEMCIOCH // W: ISIT 2021 [Dokument elektroniczny] : Ìntelektual'nì sistemi ta ìnformacìjnì tehnologìï : II mìžnarodnoï naukovo-praktičnoï konferencìï : 13-19 veresnâ 2021 roku, Odesa, Ukraïna : pracì = International scientific and practical conference Intellectual Systems and Information Technologies : 13-19 September 2021, Odesa, Ukraine : conference proceedings / ed. Gunchenko Y., [et al.]. — Wersja do Windows. — Dane tekstowe. — Odesa : Odesa State Environmental University, 2021. — W bazie Scopus dod. ISSN 1613-0073 CEUR Workshop Proceedings. — e-ISBN: 978-966-186-161-8. — S. 225–229. — Wymagania systemowe: Adobe Reader. — Tryb dostępu: http://isit.odeku.edu.ua/files/ISIT_2021_PROCEEDINGS_RO.pdf?f... [2021-09-28]. — Bibliogr. s. 229, Abstr. — W bazie Scopus na s. 209–213
Autor
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 136559 |
|---|---|
| Data dodania do BaDAP | 2021-09-28 |
| Rok publikacji | 2021 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |
Abstract
Multiple-criteria decision analysis (MCDA) is a constantly developing tool that allows for a quick assessment of the quality of solution options, also in the case when the assessment criteria are difficult to measure. Therefore, they are used in more and more fields. One of them is broadly understood security. The paper describes the specificity of the assessment of issues related to safety and solved with the use of MCDA methods. At the same time, the focus was on two areas of security. The first is Occupational Health and Safety, and in particular the issue of risk assessment of workplaces, the second is Data Security. The issues related to risk assessment in the workplace are traditionally examined mainly using the FMEA method. The problem is that the values that need to be entered into this method are usually only determined on the basis of expert knowledge. In complex systems this is a difficult task and often causes important cases to be missed. MCDA methods allow for an analytical approach to the problem of finding critical cases and facilitate their assessment. Data security is an increasingly important topic in today's world. It ceases to be the domain of information protection only, but due to the fact that the "Internet of Things" is developing more and more, it also affects direct physical security. MCDA methods help in assessing the security of data in systems and in identifying gaps and weaknesses. The paper presents methods that can be used in these cases and examples of their application.