Decision Support Smartphone Application Based on Interval AHP Method

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F15%3A50004120" target="_blank" >RIV/62690094:18450/15:50004120 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1007/978-3-319-24306-1_30" target="_blank" >http://dx.doi.org/10.1007/978-3-319-24306-1_30</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-24306-1_30" target="_blank" >10.1007/978-3-319-24306-1_30</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Decision Support Smartphone Application Based on Interval AHP Method

Popis výsledku v původním jazyce

Multicriteria decision making based on Analytic Hierarchy Process in the health care mobile application is introduced and studied. The application focuses on processing data from internal sensors of a smart phone as well as external sensors in order to monitor current state of a person. Measured data are partly evaluated in the device in order to identify critical situations such as fall of the person, and then are also sent to a server for the deeper analysis. While using AHP method, pairwise comparison matrices have to be created by experts - in our case doctors. Each expert can have different preferences and thus the resulting matrix, created based on the opinions of several experts, may be inconsistent. The method presented in this paper is based on interval judgments and shows how to merge inconsistent and uncertain preference matrices from several experts to deliver a robust and sensitive model for online machine decision making.

Název v anglickém jazyce

Decision Support Smartphone Application Based on Interval AHP Method

Popis výsledku anglicky

Multicriteria decision making based on Analytic Hierarchy Process in the health care mobile application is introduced and studied. The application focuses on processing data from internal sensors of a smart phone as well as external sensors in order to monitor current state of a person. Measured data are partly evaluated in the device in order to identify critical situations such as fall of the person, and then are also sent to a server for the deeper analysis. While using AHP method, pairwise comparison matrices have to be created by experts - in our case doctors. Each expert can have different preferences and thus the resulting matrix, created based on the opinions of several experts, may be inconsistent. The method presented in this paper is based on interval judgments and shows how to merge inconsistent and uncertain preference matrices from several experts to deliver a robust and sensitive model for online machine decision making.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/GA14-02424S" target="_blank" >GA14-02424S: Metody operačního výzkumu pro podporu rozhodování v podmínkách neurčitosti</a><br>

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Computational collective intelligence. Part II.

ISBN

978-3-319-24306-1

ISSN

0302-9743

e-ISSN

—

Počet stran výsledku

10

Strana od-do

306-315

Název nakladatele

Springer

Místo vydání

Berlin

Místo konání akce

Madrid, SPAIN

Datum konání akce

21. 9. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000366123600030