A Multi-Expert Fuzzy TOPSIS-based Model for the Evaluation of e-Learning Paths

DOI

10.2991/eusflat.2013.84How to use a DOI?

Keywords

fuzzy TOPSIS OWA aggregation group consensus Learning management systems learning paths

Abstract

In e-learning settings, the evaluation of different alternatives regarding learning paths’ proposal is nowadays crucial, due to the great attention devoted to the construction of learning objects (LO) available through Learning Management Systems (LMS). In this paper, we present a model devoted to support this evaluation process, in presence of a multi-criteria decision conducted by a set of experts involved in educational processes. The evaluation of alternatives of e-learning paths, is carried out by each expert using the TOPSIS method under the assumption that the scores are linguistically assessed and represented by positive triangular fuzzy numbers. Given the individual rankings of alternatives, a consensus modelling mechanism is introduced where the disagreement between the rankings of single experts and the group ranking is measured with a Spearman foot rule distance. A compromise solution (consensual group ranking) is determined through a constrained optimization model where the objective function is represented by a OWA-based aggregation of individual distances and constraints are imposed on individual disdagreements.

Copyright

© 2013, 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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TY  - CONF
AU  - Mario Fedrizzi
AU  - Andrea Molinari
PY  - 2013/08
DA  - 2013/08
TI  - A Multi-Expert Fuzzy TOPSIS-based Model for the Evaluation of e-Learning Paths
BT  - Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-13)
PB  - Atlantis Press
SP  - 594
EP  - 598
SN  - 1951-6851
UR  - https://doi.org/10.2991/eusflat.2013.84
DO  - 10.2991/eusflat.2013.84
ID  - Fedrizzi2013/08
ER  -