An Improved Method of Fuzzy Information Fusion

In this paper, a new similarity measure based on the geometry shape of generalized fuzzy numbers is presented. Taking advantage of this similarity measure, an improved similarity aggregation method based on ART neural networks is proposed. It is shown that the improved method could overcome some shortcomings of the existing aggregating method, and a more robust and intelligent algorithm is developed to deal with multi-sources information fusion problems. Finally, a numerical example is used to illustrate the efficiency of the proposed method.