Designing Smart Healthcare Systems Using Fuzzy Relations
Identifikátory výsledku
Kód výsledku v 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>
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Designing Smart Healthcare Systems Using Fuzzy Relations
Popis výsledku v původním jazyce
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
Název v anglickém jazyce
Designing Smart Healthcare Systems Using Fuzzy Relations
Popis výsledku anglicky
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
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2021
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Data Science and Intelligent Systems. CoMeSySo 2021. Lecture Notes in Networks and Systems, vol 231.
ISBN
978-3-030-90320-6
ISSN
—
e-ISSN
2367-3389
Počet stran výsledku
12
Strana od-do
1041-1052
Název nakladatele
Springer
Místo vydání
Cham
Místo konání akce
Online
Datum konání akce
13. 10. 2021
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
—