Weighting Models to Generate Weights and Capacities in Multicriteria Group Decision Making
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F18%3A73590122" target="_blank" >RIV/61989592:15310/18:73590122 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/TFUZZ.2017.2769041" target="_blank" >http://dx.doi.org/10.1109/TFUZZ.2017.2769041</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TFUZZ.2017.2769041" target="_blank" >10.1109/TFUZZ.2017.2769041</a>
Alternative languages
Result language
angličtina
Original language name
Weighting Models to Generate Weights and Capacities in Multicriteria Group Decision Making
Original language description
In multicriteria group decision-making problems, we need to determine the relative importances among criteria as well as among experts. When doing so, however, we often face the situations where consensuses within experts over different criteria need to he considered, and where uncertainties arise when experts do evaluations. Therefore, we need some special and reasonable methods to generate weights in such situations. In this study, three elaborately devised methods suggest ways to generate relative importance among experts, criteria, and the combination of them, respectively. The first one elicits the consensus extents within experts over different criteria, by which it can generate suitable weights among different criteria. The second one fully considers the uncertain nature when experts do evaluations, and proposes a fuzzy model which can generate weighting vector among experts according to the certainty degrees of valuations given by all the experts. In the last method, when relative importances among both experts and criteria are predetermined in the form of two capacities with dimension n and m, respectively, we find an interesting mechanism to successfully melt them into one nm-dimensional capacity which is based on given cognitive strength and on the proposed concept of compromised active/passive consensus.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE TRANSACTIONS ON FUZZY SYSTEMS
ISSN
1063-6706
e-ISSN
—
Volume of the periodical
26
Issue of the periodical within the volume
4
Country of publishing house
US - UNITED STATES
Number of pages
12
Pages from-to
2225-2236
UT code for WoS article
000440798300038
EID of the result in the Scopus database
2-s2.0-85032787791