A new prioritized information fusion algorithm based on GMA operators and generalized fuzzy-number similarity measure

In this paper, we present a new prioritized information fusion algorithm based on GMA operators and generalized fuzzy-number similarity measure to deal with multi-criteria fuzzy decision-making problems. The proposed prioritized information fusion algorithm has several advantages. That it can handle multi-criteria fuzzy decision-making problems in a useful manner that allows generalized fuzzy numbers or crisp values between zero and one to represent the evaluating values of criteria and can avoid some drawbacks present some existing algorithms.