An Axiomatic Approach to a Class of Ranking Functions for Triangular Fuzzy Numbers

This paper deals with the problem of ranking a set of alternatives, represented by triangular fuzzy numbers, in decision-making situations. A new approach is followed through the definition of some axiomatic requirements which represent the essential properties that characterize an arbitrary ranking function. A notion of degree of risk associated to every ranking function is proposed to discriminate equivalent alternatives.