Selection of suitable e-learning approach using TOPSIS technique with best ranked criteria weights

• Main Authors: Mohammed, Husam Jasim, Mat Kasim, Maznah, Mohd Shaharanee, Izwan Nizal
• Format: Article
• Published: IP Publishing LLC 2017
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://repo.uum.edu.my/24909/; http://doi.org/10.1063/1.5012207
• Institution: Universiti Utara Malaysia

his paper compares the performances of four rank-based weighting assessment techniques, Rank Sum (RS), Rank Reciprocal (RR), Rank Exponent (RE), and Rank Order Centroid (ROC) on five identified e-learning criteria to select the best weights method. A total of 35 experts in a public university in Mal...