Abstract:

The advantage of the Bonferroni mean operator is its capability to capture the interrelationship between input arguments in information fusion. In order to aggregate triangular fuzzy numbers, the fuzzy Bonferroni mean (FBM) operator is developed and its some special cases are discussed. Based on this, the fuzzy weighted Bonferroni mean (FWBM) operator and the combined fuzzy weighted Bonferroni mean (C-FWBM) operator are proposed. Meanwhile, some desirable properties of these operators are investigated. With respect to multi-criteria group decision making in which the decision making information is given by triangular fuzzy numbers, a new decision making method is proposed based on FWBM operator and C-FWBM operator. Finally an illustrative example is given to use these operators in the range of fuzzy multi-criteria group decisionmaking. The results show that the proposed method is feasible.