MULTI-CRITERIA RANKING INDEX

Abstract

Decision-making is sometimes complex and difficult especially when it involves ranking alternatives in the presence of multiple, usually conflicting, criteria. So far, TOPSIS, an acronym of Technique for Order Preference by Similarity to an Ideal Solution, has been used to select an alternative that should have the smallest distance from the benefit criteria and the furthest distance from the cost criteria. So far, this method is frequently used for making decisions in a variety of real-world situations. To take interest in the importance of alternatives in ranking, this paper proposes an improved technique to the original TOPSIS built on credit scores of alternatives. Experimental results of the paper show that the suggested technique is acceptable and appropriate for the requirements of the decision-making problem.