Selection of E-learning websites using a novel Proximity Indexed Value (PIV) MCDM method

Abstract

This paper presents application of a newly developed multi-criteria decision-making (MCDM) method, i.e. Proximity Indexed Value (PIV) method for the ranking and selection of the E-learning websites. PIV is a computationally simpler method as compared to other MCDM methods such as AHP, VIKOR, COPRAS, WEDBA, WDBA, and it also minimises the rank reversal problem. The applicability and efficacy of the PIV method has been demonstrated with the help of two illustrative examples pertaining to the selection of the E-learning websites which have already been solved by researchers using different MCDM methods. Results of this study revealed that the ranking of the E-learning websites obtained by the PIV method exactly matched with those derived by AHP, VIKOR and COPRAS. However, a small difference in the ranking by PIV method with those of WEDBA and WDBA was observed. It suggests that PIV method is a simple, effective and efficient method which can be used to solve different types of problems related to the ranking and selection of alternatives.