Weighting Models to Generate Weights and Capacities in Multicriteria Group Decision Making
Identifikátory výsledku
Kód výsledku v 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>
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Weighting Models to Generate Weights and Capacities in Multicriteria Group Decision Making
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Weighting Models to Generate Weights and Capacities in Multicriteria Group Decision Making
Popis výsledku anglicky
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.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2018
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
IEEE TRANSACTIONS ON FUZZY SYSTEMS
ISSN
1063-6706
e-ISSN
—
Svazek periodika
26
Číslo periodika v rámci svazku
4
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
12
Strana od-do
2225-2236
Kód UT WoS článku
000440798300038
EID výsledku v databázi Scopus
2-s2.0-85032787791