Risk Assessment of COVID-19 Transmission on Cruise Ships Using Fuzzy Rules

Georgia Sovatzidi, Georgios Triantafyllou, George Dimas, Panagiotis G. Kalozoumis, Dimitris Drikakis, Ioannis W. Kokkinakis, Ioannis A. Markakis, Christina Golna, Dimitris K. Iakovidis

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    Cruise ships constitute a popular means of vacationing for millions of people each year. However, due to the on-board conditions, e.g., densely populated areas, highly transmissible respiratory diseases, such as COVID-19, are a common cause of outbreaks. Hence, accurate assessment of the transmission risk (TR) is crucial. Recent approaches focus on long-term forecasting of such events; however, the limited availability and inconsistency of relevant data poses a challenge for developing short-term and data-driven methods. To this end, this work proposes a novel short-term knowledge-based method implemented through fuzzy rules for assessing the TR in cruise ships. The use of fuzzy rules, developed by domain experts and information extracted from the literature, assists in dealing with the data limitations. In contrast to previous approaches, the proposed method considers information deriving from various sensors and the ship information system in accord with a recently proposed smart ship design. Moreover, the fuzzy TR assessment estimates the confidence of an inferred decision, quantifying the uncertainty regarding its results. Evaluation via agent-based simulations demonstrates the effectiveness of the proposed method across different scenarios.

    Original languageEnglish
    Title of host publicationArtificial Intelligence Applications and Innovations - 20th IFIP WG 12.5 International Conference, AIAI 2024, Proceedings
    EditorsIlias Maglogiannis, Lazaros Iliadis, John Macintyre, Markos Avlonitis, Antonios Papaleonidas
    PublisherSpringer Science and Business Media Deutschland GmbH
    Pages336-348
    Number of pages13
    ISBN (Print)9783031632181
    DOIs
    Publication statusPublished - 2024
    Event20th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2024 - Corfu, Greece
    Duration: 27 Jun 202430 Jun 2024

    Publication series

    NameIFIP Advances in Information and Communication Technology
    Volume713 IFIPAICT
    ISSN (Print)1868-4238
    ISSN (Electronic)1868-422X

    Conference

    Conference20th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2024
    Country/TerritoryGreece
    CityCorfu
    Period27/06/2430/06/24

    Keywords

    • Airborne Disease Transmission
    • Cruise Ship
    • Fuzzy Logic
    • Fuzzy Rules
    • Knowledge-based System

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