@article {Qin:2012:1936-6612:732,
title = "Data Fusion Based on Proof Theory and Fuzzy Set in WSN",
journal = "Advanced Science Letters",
parent_itemid = "infobike://asp/asl",
publishercode ="asp",
year = "2012",
volume = "6",
number = "1",
publication date ="2012-03-15T00:00:00",
pages = "732-735",
itemtype = "ARTICLE",
issn = "1936-6612",
url = "https://www.ingentaconnect.com/content/asp/asl/2012/00000006/00000001/art00140",
doi = "doi:10.1166/asl.2012.2228",
keyword = "EVIDENCE THEORY, DATA FUSION, FUZZY SET, WIRELESS SENSOR NETWORKS",
author = "Qin, Ningning and Qian, Feifei and Zhou, Yun and Xu, Baoguo",
abstract = "Focused on the problem that it is difficult to set up the basic probability assignment function in the evidence theory and the calculation of degree of mutual support is absolute, an information fusion method based on evidence theory and fuzzy set (FSB-DS) is proposed. The fuzzy support
range and the fuzzy support probability are obtained from the correlation function. Then by using the membership function, the reliability of information provides by each sensor is gained. And then transform support and credibility into basic probability assignment function, and finally the
DS evidence combination. The simulation results show that the fusion results have higher precision and reliability compared with other methods.",
}