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Designing Smart Healthcare Systems Using Fuzzy Relations

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Data Science and Intelligent Systems (CoMeSySo 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 231))

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Abstract

The investment in the clinic and hospitals environments while becoming necessary very attractive, it must be justifiable with obvious level of reliability based on logical and systematically understandable steps. In this paper, we present a simple, systematic, and objective fuzzy relation-based approach for the design of a smart healthcare system. The proposed approach establishes fuzzy relations among three model building blocks: the smart enabling technologies, the healthcare system smartness features, and the healthcare system operational objectives that are desirable to realize. The max-min composition operator is utilized for combining the aforementioned relations for attaining the target relation among the enabling technologies and the operational objectives. A priority of the smart enabling technology is computed based on the total impact relation of each enabling technology on all the operational objectives. Then, the design of the smart healthcare system is reached by adopting the enabling technologies in order of priority.

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Acknowledgements

This work was conducted within the project Ambient intelligence in decision-making problems in uncertainty conditions (2019B0008) funded through the IGA foundation of the Faculty of Economics and Management, Czech University of Life Sciences in Prague.

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Authors and Affiliations

  1. Faculty of Engineering at Helwan, Helwan University, Helwan, Egypt

    Shady Aly

  2. Faculty of Economics and Management, Department of Information Engineering, Czech University of Life Sciences in Prague, Prague, Czechia

    Jan Tyrychtr & Ivan Vrana

Authors
  1. Shady Aly
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  2. Jan Tyrychtr
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  3. Ivan Vrana
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Corresponding author

Correspondence to Shady Aly .

Editor information

Editors and Affiliations

  1. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Radek Silhavy

  2. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Petr Silhavy

  3. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Zdenka Prokopova

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Aly, S., Tyrychtr, J., Vrana, I. (2021). Designing Smart Healthcare Systems Using Fuzzy Relations. In: Silhavy, R., Silhavy, P., Prokopova, Z. (eds) Data Science and Intelligent Systems. CoMeSySo 2021. Lecture Notes in Networks and Systems, vol 231. Springer, Cham. https://doi.org/10.1007/978-3-030-90321-3_87

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