Title :
Information fusion for multi-source fuzzy information system with the same structure
Author :
Jianhang Yu;Weihua Xu
Author_Institution :
School of Mathematics and Statistics, Chongqing University of Technology, Chongqing 400054, P.R. China
fDate :
7/1/2015 12:00:00 AM
Abstract :
Information fusion technologies have become more important in the field of information service in the age of information. The main goal of information fusion is to combine information from different sources to obtain a single composite solution. Multiple information sources form an information box if they have the same structure, i.e. the same object set and the same attribute set The information fusion is a process to map an information box to an information table. In this paper, we propose two approaches for fuzzy information fusion in multi-source environment with the same structure. Furthermore, a case study of expert evaluation is carried out to verify the proposed fusion method and the fuzzy rough accuracy is used to test different fusion approaches.
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2015 International Conference on
DOI :
10.1109/ICMLC.2015.7340917