IDEAS home Printed from https://ideas.repec.org/a/zna/indecs/v20y2022i3p239-249.html
   My bibliography  Save this article

Fuzzy System Based Event Tree Analysis Support of the Smart Security System of Health Care Centers and Hospitals

Author

Listed:
  • Gábor Liebmann

    (Óbuda University, Doctoral School on Safety and Security Sciences, Budapest, Hungary)

  • György Schuster

    (Óbuda University, Doctoral School on Safety and Security Sciences, Budapest, Hungary)

Abstract

One of the keystones of the smart city is the medical area. Health care centres and hospital building structures will change in smart cities, because of the increasing trend of in-day surgery procedures, smart bracelets, and additional wearable sensors, which give a better and more accurate possibility to make a diagnosis from a distance. It means that the functionality of medical centres and hospitals will constantly change, the number of bedridden places will decrease, research and development and IT areas will grow, and fast-medical areas will multiply. The result of the above-mentioned processes is that many more patients will be visiting the buildings near the high-security R&D and IT areas. This may result in an increased incidence of robberies, vandalism, and even terrorism, because of radioactive and psychoactive materials. The new concept of medical and health care centres of smart cities is a source of great difficulty for security systems. For patients, it is a good experience to enter a spacious friendly area without any restrictions, which can significantly reduce the stress factor and can give a healthier atmosphere, while the opposite of this means that nobody is allowed to enter the medical treatment and research area without authorization. Managing (financing, operating, developing, maintaining) smart complex security systems in the above mentioned medical and health care centres is difficult because of the human factor and a large number of connections and internal processes. However, the fuzzy system-based event tree analysis can be a useful mathematical solution to receive inbound values of the systems' elements and the online prediction of the processes' states. The continuous analysis of these factors and information provides facility management with a guideline about the current state of complex security systems. The optimal usage of procedures can maximize the fully functional operational efficiency and reduce hazards. This article gives a useful guideline for operating complex security systems of smart cities in medical health care centres and hospitals. It detects the main connections between their successes and hazards to find the key elements and the inbound and outbound parameters of the smart cities' complex security system. The generated mathematical values provide additional information that could be used as an operational indicator of the whole smart city security system.

Suggested Citation

  • Gábor Liebmann & György Schuster, 2022. "Fuzzy System Based Event Tree Analysis Support of the Smart Security System of Health Care Centers and Hospitals," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 20(3), pages 239-249.
  • Handle: RePEc:zna:indecs:v:20:y:2022:i:3:p:239-249
    as

    Download full text from publisher

    File URL: https://www.indecs.eu/2022/indecs2022-pp239-249.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    smart security; smart health care center and smart hospitals; complex security system; event tree analysis; probabilistic approach;
    All these keywords.

    JEL classification:

    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zna:indecs:v:20:y:2022:i:3:p:239-249. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Josip Stepanic (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.