Target Recognition Based on Optimal Fusion of Fuzzy Attributes
Qi Yang · Jisuanji fangzhen · 2009
In order to realize automatic target recognition in uncertain environment,an optimal fusion of fuzzy attributes algorithm is presented to aggregate multi-source information.First,each sensor report is modeled as triangular fuzzy numbers.A simple similarity measure is introduced to determine the consensus degree of each sensor' report.Then,a criterion for optimal fusion is applied to combine all fuzzy information.The criterion is that the sum of weighted dissimilarity between the final fusion result and each sensor report should be minimized.By the iterative algorithm,the weight of each sensor and final fusion result can be determined.The optimal fusion algorithm takes advantage of many desired properties such as the order independence to the initial weight vector and the sensor report.Finally,the algorithm is illustrated numerically in target recognition problem.