Comparison of AHP-TOPSIS Hybrid Methods, WP and SAW for Multi-Attribute Decision-Making to Select The Best Electrical Expert

Abstract

This study examined the three most widely used Multi-Attribute Decision-Making (MADM) methods in alternative decision making of Electrical Expert (EE) selection: hybrid AHP (Analytic Hierarchy Process) and TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) method, Weight Product (WP), Simple Additive Weighting (SAW). The advantages and limitations of each parameter are identified to assist decision makers in selecting the right MADM technique. The essence of MADM is to determine the weighting value for each parameter, followed by the rank which will select the given alternatives. The difference in the ranking order of this method is due to the effects of alternative values, weighting criteria, and calculation methods. AHP is a MADM method that has consistency in giving weighting to its parameters while TOPSIS, SAW and WP methods have no consistency. The results of the decision-making process using WP and SAW methods show similar results for alternative rankings. The WP and SAW methods have the same core process of calculating the weighted average parameters. The use of the AHP-TOPSIS hybrid method in the decision-making process produces the same top ranking as any other method. The AHP-TOPSIS hybrid method has a consistency in the weighting process on its parameters.