Comparison of weighted product method and technique for order preference by similarity to ideal solution method: Complexity and accuracy

Abstract

Weighted Product (WP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) are two methods widely used to assist in making decision. As research on the comparison of both methods seems to have not been extensive, this study aims to compare the two methods by looking at their complexity and accuracy. The measurement of their complexity was carried out by using Cyclomatic Complexity and their accuracy was calculated based on the error rate obtained. The results show that although TOPSIS method has a higher level of complexity, which is 8 compared to 5 of WP method, TOPSIS has a higher accuracy rate of 73% compared to WP's 67%. Hence, TOPSIS method is better.