A new approach to comparing intuitionistic fuzzy values

This paper presents a new approach to comparing intuitionistic fuzzy values. Score and accuracy functions are used to build the "net profit" and "risk" local criteria, which are aggregated in a generalized criterion taking into account the weights of the considered local criteria depending on the risk aversion of a decision maker. As opposed to known methods, the new approach makes it possible to estimate the strength of the relations between real valued intuitionistic fuzzy values. Using some numerical examples, it is shown that the proposed approach provides intuitively clear results.