Title :
Combining evidence and its application in synthesis decision
Author :
Wang, Yongjie ; Ying Qiao ; Pei, Zheng
Author_Institution :
Sch. of Econ. & Manage., Southwest Jiaotong Univ., Sichuan, China
Abstract :
Dempster-Shafer evidence theory is one of the numerical approaches to data fusion, and especially the combining evidence of Dempster-Shafer theory is widely used in many applications. In the paper, we present two combining evidences of Dempster-Shafer theory, and use combining evidences for synthesis evaluation of graduate education quality.
Keywords :
education; inference mechanisms; sensor fusion; uncertainty handling; Dempster-Shafer evidence theory; data fusion; graduate education quality; synthesis decision; synthesis evaluation; Battery powered vehicles; Bayesian methods; Cybernetics; Erbium; Machine learning; Probability; Upper bound;
Conference_Titel :
Machine Learning and Cybernetics, 2003 International Conference on
Print_ISBN :
0-7803-8131-9
DOI :
10.1109/ICMLC.2003.1259788
