Model for Assessing Quality of Online Health Information: A Fuzzy VIKOR Technique

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F15%3A43874014" target="_blank" >RIV/70883521:28140/15:43874014 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/70883521:28120/15:43874014

Výsledek na webu

<a href="http://dx.doi.org/10.1002/mcda.1558" target="_blank" >http://dx.doi.org/10.1002/mcda.1558</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1002/mcda.1558" target="_blank" >10.1002/mcda.1558</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Model for Assessing Quality of Online Health Information: A Fuzzy VIKOR Technique

Popis výsledku v původním jazyce

Today, tens and thousands of websites provide health-related information on various topics to a growing number of consumers. However, the lay user is often faced with a challenge of determining the quality of information provided by one site from the other. To ensure the protection of users from sites that provide unreliable and unsafe information, there has to be a competent reviewing body that rates and ranks the quality of information provided by each site. This paper (i) proposes a new criteria framework for assessing the quality of online health information and (ii) uses a fuzzy 'visekriterijumska optimicija i kompromisno resenje' method to demonstrate how online health information providers could be assessed and ranked based on their quality. Thefuzzy modelling uses pre-defined linguistic variables parameterized by triangular fuzzy numbers in the assessment and subsequent ranking of providers under a particular health topic. A numerical example is demonstrated using diabetes onl

Název v anglickém jazyce

Model for Assessing Quality of Online Health Information: A Fuzzy VIKOR Technique

Popis výsledku anglicky

Today, tens and thousands of websites provide health-related information on various topics to a growing number of consumers. However, the lay user is often faced with a challenge of determining the quality of information provided by one site from the other. To ensure the protection of users from sites that provide unreliable and unsafe information, there has to be a competent reviewing body that rates and ranks the quality of information provided by each site. This paper (i) proposes a new criteria framework for assessing the quality of online health information and (ii) uses a fuzzy 'visekriterijumska optimicija i kompromisno resenje' method to demonstrate how online health information providers could be assessed and ranked based on their quality. Thefuzzy modelling uses pre-defined linguistic variables parameterized by triangular fuzzy numbers in the assessment and subsequent ranking of providers under a particular health topic. A numerical example is demonstrated using diabetes onl

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>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 periodika

Journal of Multicriteria Decision Analysis

ISSN

1057-9214

e-ISSN

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Svazek periodika

2015

Číslo periodika v rámci svazku

Neuveden

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

14

Strana od-do

49-62

Kód UT WoS článku

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EID výsledku v databázi Scopus

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