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

How success in a task depends on the skills level: two uncertainty-based justifications of a semi-heuristic Rasch model

Authors
Joe Lorkowski, Olga Kosheleva, Vladik Kreinovich
Corresponding Author
Joe Lorkowski
Available Online June 2015.
DOI
10.2991/ifsa-eusflat-15.2015.73How to use a DOI?
Keywords
Education, rasch model, fuzzy logic, logistic dependence
Abstract

The more skills a student acquires, the more successful this student is with the corresponding tasks. Empirical data shows that the success in a task grows as a logistic function of skills; this dependence is known as the Rasch model. In this paper, we provide two uncertainty-based justifications for this model: the first justification provides a simple fuzzy-based intuitive explanation for this model, while the second – more complex one – explains the exact quantitative behavior of the corresponding dependence.

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-15.2015.73How 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  - Joe Lorkowski
AU  - Olga Kosheleva
AU  - Vladik Kreinovich
PY  - 2015/06
DA  - 2015/06
TI  - How success in a task depends on the skills level: two uncertainty-based justifications of a semi-heuristic Rasch model
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  - 506
EP  - 511
SN  - 1951-6851
UR  - https://doi.org/10.2991/ifsa-eusflat-15.2015.73
DO  - 10.2991/ifsa-eusflat-15.2015.73
ID  - Lorkowski2015/06
ER  -