期刊
INFORMATION SCIENCES
卷 340, 期 -, 页码 250-261出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.ins.2016.01.033
关键词
Dempster-Shafer evidence theory; Belief function; Basic probability assignment; Confusion matrix; Classification; Transmembrane proteins
资金
- National High Technology Research and Development Program of China (863 Program) [2013AA013801]
- National Natural Science Foundation of China [2013AA013801, 61174022, 61573290]
- State Key Laboratory of Virtual Reality Technology and Systems, Beihang University [BUAA-VR-14KF-02]
- Fundamental Research Funds for the Central Universities [XDJK2014D034]
- China Scholarship Council
The determination of basic probability assignment (BPA) is a crucial issue in the application of Dempster-Shafer evidence theory. Classification is a process of determining the class label that a sample belongs to. In classification problem, the construction of BPA based on the confusion matrix has been studied. However, the existing methods do not make full use of the available information provided by the confusion matrix. In this paper, an improved method to construct the BPA is proposed based on the confusion matrix. The proposed method takes into account both the precision rate and the recall rate of each class. An illustrative case regarding the prediction of transmembrane protein topology is given to demonstrate the effectiveness of the proposed method. (C) 2016 Elsevier Inc. All rights reserved.
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