A Multi-Expert Fuzzy TOPSIS-based Model for the Evaluation of e-Learning Paths
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- fuzzy TOPSIS OWA aggregation group consensus Learning management systems learning paths
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.
- © 2013, the Authors. Published by Atlantis Press.
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- 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 - 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 - https://doi.org/10.2991/eusflat.2013.84 ID - Fedrizzi2013/08 ER -