Fuzzy multicriteria analysis of m-learning system
Piroska Stanić Molcer, Z. Covic, B. Kiss · 2012
This article contents description of fuzzy evaluation of m-learning materials. Fuzzy technique for order preference by similarity to ideal solution with multiple evaluators is proposed. Ranking is accomplished by fuzzy multicriteria analysis. Criteria are described by linguistic attributes and linguistic weights. Examples with triangular fuzzy sets are given. The uncertainty of subjective perception in the situation of evaluating learning materials is incorporated by fuzzy sets.