Some weighted ranking operators with interval valued intuitionistic fuzzy information applied to outsourced software project risk assessment

Abstract

Some weighted ranking operators of interval valued intuitionistic fuzzy sets (IVIFS) are presented in this paper. By analyzing the interval of membership degree, the interval of non-membership degree and the interval of hesitant degree, we provide two types of weighted ranking operators with IVIFS information. And we prove some mathematical properties of these ranking operators. Finally, a multiple attribute decision-making example applied to outsourced software project risk assessment is given to demonstrate the application of this multiple attribute decision making method. The simulation results show that two-dimensional operator with IVIFS information is more effective than three-dimensional operator.