Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology

Learning experts’ preferences from informetric data

Authors
Marek Gagolewski, Jan Lasek
Corresponding Author
Marek Gagolewski
Available Online June 2015.
DOI
10.2991/ifsa-eusflat-15.2015.70How to use a DOI?
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 experts’ preferences accurately.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology
Series
Advances in Intelligent Systems Research
Publication Date
June 2015
ISBN
978-94-62520-77-6
ISSN
1951-6851
DOI
10.2991/ifsa-eusflat-15.2015.70How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Marek Gagolewski
AU  - Jan Lasek
PY  - 2015/06
DA  - 2015/06
TI  - Learning experts’ preferences from informetric data
BT  - Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology
PB  - Atlantis Press
SP  - 484
EP  - 491
SN  - 1951-6851
UR  - https://doi.org/10.2991/ifsa-eusflat-15.2015.70
DO  - 10.2991/ifsa-eusflat-15.2015.70
ID  - Gagolewski2015/06
ER  -