Designing Smart Healthcare Systems Using Fuzzy Relations
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F21%3A88205" target="_blank" >RIV/60460709:41110/21:88205 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-030-90321-3_87" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-030-90321-3_87</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-90321-3_87" target="_blank" >10.1007/978-3-030-90321-3_87</a>
Alternative languages
Result language
angličtina
Original language name
Designing Smart Healthcare Systems Using Fuzzy Relations
Original language description
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 t
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Data Science and Intelligent Systems. CoMeSySo 2021. Lecture Notes in Networks and Systems, vol 231.
ISBN
978-3-030-90320-6
ISSN
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e-ISSN
2367-3389
Number of pages
12
Pages from-to
1041-1052
Publisher name
Springer
Place of publication
Cham
Event location
Online
Event date
Oct 13, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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