Evaluation of ranking similarity in ordinal ranking problems
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F47813059%3A19520%2F11%3A%230001446" target="_blank" >RIV/47813059:19520/11:#0001446 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Evaluation of ranking similarity in ordinal ranking problems
Original language description
In ordinal ranking problems objects, alternatives, products, services, etc. are ranked by several experts and the goal is to convert a set of (generally different) rankings into the final group consensus ranking. However, this goal depends on a degree ofagreement among rankings. With random rankings one cannot expect to get meaningful consensus, but if rankings are "close" and represent agreement between experts, then the final group consensus has much more sense. The aim of this article is to presentthe evaluation of similarity among rankings, which is based on Kendall's ? and W, Spearman's ?, Pearson's r and dot product of vectors. Cases without and with ties are discussed as well as a problem of similarity between incomplete rankings (top k lists). Explanations are based on examples.
Czech name
—
Czech description
—
Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
AH - Economics
OECD FORD branch
—
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Acta academica karviniensia
ISSN
1212-415X
e-ISSN
—
Volume of the periodical
—
Issue of the periodical within the volume
2
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
10
Pages from-to
119-128
UT code for WoS article
—
EID of the result in the Scopus database
—