An Improved Radius of Gyration Similarity Measure between Generalized Fuzzy Numbers and Its Application to Multisource Data Fusion
The degree of similarity between fuzzy numbers plays an important role in fuzzy information fusion. In this paper, improved ROG-based similarity measure developed from the current ROG method is presented. It is shown that the new method can overcome some shortcomings of the existing similarity measures. Based on the proposed similarity measure, a more flexible and intelligent algorithm is developed to deal with multi-sensor data fusion problems. A numerical example is used to illustrate the efficiency of the proposed method.