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Albeanu G., Duda I. G. . Intuitionistic Fuzzy Approaches for Quality Evaluation of Learning Objects. In H. Pham (ed.), Proceedings of 17th ISSAT International Conference on Reliability and Quality in Design, Vancouver B. C., Canada, August 4-6, 2011, pp. 258-262. International Society of Science and Applied Technologies, ISBN: 978-0-9763486-7-2, 2011.

Abstract: Quality evaluation of learning objects asks for subjective approaches in a multi-criteria framework. This paper describes the usage of intuitionistic fuzzy sets for modelling the degree of acceptance/rejection of learning objects according to a set of criteria and proposes some methods for the best learning object identification. Experimental results are reported for items belonging to the computer science field evaluated both by students and teaching staff.

Keywords: e-learning, quality assessment, soft computing methodologies, multi-criteria ranking


Posted by G. Albeanu


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