Proceedings of the International Conference on Computer Information Systems and Industrial Applications

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Category Scores for Selecting the Most Desirable Options in a Learning Setting

Authors
S. Encheva
Corresponding Author
S. Encheva
Available Online June 2015.
DOI
10.2991/cisia-15.2015.126How to use a DOI?
Keywords
inconsistencies; kansei engineering; rough set
Abstract

Learners’ preferences play significant role in effectiveness of a study process. Individual preferences and group preferences however may differ considerably. While data is collected from single users, general settings are usually made to serve groups of people. An approach for incorporating individual preferences into a system serving a number of users is addressed in this work.

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 International Conference on Computer Information Systems and Industrial Applications
Series
Advances in Computer Science Research
Publication Date
June 2015
ISBN
978-94-62520-72-1
ISSN
2352-538X
DOI
10.2991/cisia-15.2015.126How 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

risenwbib
TY  - CONF
AU  - S. Encheva
PY  - 2015/06
DA  - 2015/06
TI  - Category Scores for Selecting the Most Desirable Options in a Learning Setting
BT  - Proceedings of the International Conference on Computer Information Systems and Industrial Applications
PB  - Atlantis Press
SP  - 463
EP  - 465
SN  - 2352-538X
UR  - https://doi.org/10.2991/cisia-15.2015.126
DO  - 10.2991/cisia-15.2015.126
ID  - Encheva2015/06
ER  -