Mean Deviation Method for Fuzzy Multi-sensor Object Recognition
Aimed at the object recognition problem in which the characteristic values of object types and observations of sensors are in the form of triangular fuzzy numbers, a new fusion method for multi-sensor data is proposed based on mean deviation. The method defines the distance matrix between all object types and unknown object. After solving the optimization problem of maximizing the mean deviations for all attributes, the weights of the attributes are obtained objectively. Thus, the result of recognition for the unknown object is given by the overall distance. The simulated example verifies the feasibility and practicability of the proposed method.
multi-sensor information fusion object recognition triangular fuzzy number mean deviation
Jiuying Dong
College of Information Technology Jiangxi University of Finance and Economic Nanchang, 330013, China
国际会议
南昌
英文
201-204
2009-09-01（万方平台首次上网日期，不代表论文的发表时间）