A Model Based on Linguistic 2-Tuples for Dealing With Heterogeneous Relationship Among Attributes in Multi-expert Decision Making
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F15%3AA1601EU0" target="_blank" >RIV/61988987:17610/15:A1601EU0 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
A Model Based on Linguistic 2-Tuples for Dealing With Heterogeneous Relationship Among Attributes in Multi-expert Decision Making
Original language description
Classical Bonferroni mean, defined by Bonferroni in 1950, assumes homogeneous relation among the attributes, i.e., each attribute Ai is related to the rest of the attributes. In this paper, we emphasize the importance of having an aggregation operator, which we will refer to as the extended Bonferroni mean operator to capture heterogeneous interrelationship among the attributes. A practical example is presented to demonstrate the applicability of our results.
Czech name
—
Czech description
—
Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BA - General mathematics
OECD FORD branch
—
Result continuities
Project
<a href="/en/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: IT4Innovations Centre of Excellence</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE T FUZZY SYST
ISSN
1063-6706
e-ISSN
—
Volume of the periodical
23
Issue of the periodical within the volume
5
Country of publishing house
US - UNITED STATES
Number of pages
15
Pages from-to
1817-1831
UT code for WoS article
—
EID of the result in the Scopus database
—