New Construction Approach of Basic Belief Assignment Function Based on Confusion Matrix

摘要

In the application of belief function theory, the first problem is the construction of the basic belief assignment. This study presents a new construction approach based on the confusion matrix. The method starts from the output of the confusion matrix and then designs construction strategy for basic belief assignment functions based on the expectation vector of the confusion matrix. Comparative tests of several other construction methods on the U.C.I database show that our proposed method can achieve higher target classification accuracy, lower computational complexity, which has a strong ability to promote the application.