Fuzzified AHP in the evaluation of scientific monographs
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15210%2F16%3A33154827" target="_blank" >RIV/61989592:15210/16:33154827 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/s10100-015-0399-2" target="_blank" >http://dx.doi.org/10.1007/s10100-015-0399-2</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s10100-015-0399-2" target="_blank" >10.1007/s10100-015-0399-2</a>
Alternative languages
Result language
angličtina
Original language name
Fuzzified AHP in the evaluation of scientific monographs
Original language description
Fuzzification of the analytic hierarchy process (AHP) is of great interest to researchers since it is a frequently used method for coping with complex decision making problems. There have been many attempts to fuzzify the AHP.We focus particularly on the construction of fuzzy pairwise comparison matrices and on obtaining fuzzy weights of objects from them subsequently.We review the fuzzification of the geometric mean method for obtaining fuzzy weights of objects from fuzzy pairwise comparison matrices. We illustrate here the usefulness of the fuzzified AHP on a real-life problem of the evaluation of quality of scientific monographs in university environment. The benefits of the presented evaluation methodology and its suitability for quality assessment of R&D results in general are discussed. When the task of quality assessment in R&D is considered, an important role is played by peer-review evaluation. Evaluations provided by experts in the peer-review process have a high level of subjectivity and can be expected in a linguistic form. New decision-support methods (or adaptations of classic methods) well suited to deal with such inputs, to capture the consistency of experts' preferences and to restrict the subjectivity to an acceptable level are necessary. A new consistency condition is therefore defined here to be used for expertly defined fuzzy pairwise comparison matrices.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BB - Applied statistics, operational research
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
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Central European Journal of Operations Research
ISSN
1613-9178
e-ISSN
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Volume of the periodical
24
Issue of the periodical within the volume
2
Country of publishing house
DE - GERMANY
Number of pages
18
Pages from-to
353-370
UT code for WoS article
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EID of the result in the Scopus database
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