Decision Support Smartphone Application Based on Interval AHP Method
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Decision Support Smartphone Application Based on Interval AHP Method
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA14-02424S" target="_blank" >GA14-02424S: Methods of operations research for decision support under uncertainty</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Computational collective intelligence. Part II.
ISBN
978-3-319-24306-1
ISSN
0302-9743
e-ISSN
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Number of pages
10
Pages from-to
306-315
Publisher name
Springer
Place of publication
Berlin
Event location
Madrid, SPAIN
Event date
Sep 21, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000366123600030