Method of interval deviation degree for uncertain multi-sensor target recognition
Shu‐Ping Wan · Kongzhi yu juece · 2009
For the problem of multi-sensor target recognition,in which the characteristic values of target types and observations of sensors are in the form of interval numbers,an uncertain fusion method is proposed.The method defines the interval deviation degree.The weight vector of attributes is obtained by interval cluster and integration of induced ordered weighted averaging(IOWA) operator.The method of recognition is presented according to the overall deviation degree,which can avoid the subjectivity of selecting attribute weight and improve the trustworthy degree of target recognition.The simulation example shows the effectiveness and feasibility of the method.