A ranking method for multiple-criteria decision-making

Fuzzy logic is applied in more and more applications. Non-stochastic, inexact and uncertain concepts and decisions can thus be treated in a more natural way. Ranking methods based on fuzzy logic play an important role in practice and are widely applicable in decision-making. In a ranking task of a legal case these ordering methods are used, or, more exactly, a new one is developed that is similar to the R. Jain ordering method of multiple aspect alternatives; as such it is a special case of that. This 'mark-based method' is based on the principle of ranking progress used in education. By considering the values of fuzzy attributes which characterize the alternatives as a mark (or after their transformation into marks) and aggregating the fuzzy sets of marks, the method orders only one 'extra' mark to each alternative. The alter natives are ordered by their extra marks. The mark-based method is generally applicable in ranking tests, as several examples show. Compared to other methods (for example, ELECTRE II NAIADE or Yager's method) the proposed ranking method leads to similar results.