title:
 
Learning expertsí preferences from informetric data
publication:
 
eusflat-15
ISBN:
  978-94-62520-77-6
ISSN:
  1951-6851
DOI:
  doi:10.2991/ifsa-eusflat-15.2015.70 (how to use a DOI)
author(s):
 
Marek Gagolewski, Jan Lasek
corresponding author:
 
Marek Gagolewski
publication date:
 
June 2015
keywords:
 
Preference learning, fuzzy relations, informetrics, aggregation, h-index
abstract:
 
In the field of informetrics, agents are often represented by numeric sequences of non necessarily conforming lengths. There are numerous aggregation techniques of such sequences, e.g., the g-index, the h-index, that may be used to compare the output of pairs of agents. In this paper we address a question whether such impact indices may be used to model expertsí preferences accurately.
copyright:
 
© The authors.
This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/
full text: