Data Fusion for Trust Evaluation

Zheng Yan; Qinghua Zheng; Laurence T. Yang; Robert H. Deng

doi:10.1016/j.inffus.2021.05.007

Data Fusion for Trust Evaluation

Zheng Yan^*
, Qinghua Zheng
, Laurence T. Yang
, Robert H. Deng

^*Corresponding author for this work

Research output: Contribution to journal › Editorial › Scientific

3 Citations (Scopus)

Original language	English
Pages (from-to)	187-188
Number of pages	2
Journal	Information Fusion
Volume	76
DOIs	https://doi.org/10.1016/j.inffus.2021.05.007
Publication status	Published - Dec 2021
MoE publication type	B1 Non-refereed journal articles

Funding

This work is supported in part by the National Natural Science Foundation of China under Grant 62072351; in part by the Academy of Finland under Grant 308087 and Grant 335262; in part by the Shaanxi Innovation Team Project under Grant 2018TD-007; and in part by the 111 Project under Grant B16037, as well as Huawei Technologies Group Co. Ltd. This work is supported in part by the National Natural Science Foundation of China under Grant 62072351 ; in part by the Academy of Finland under Grant 308087 and Grant 335262 ; in part by the Shaanxi Innovation Team Project under Grant 2018TD-007 ; and in part by the 111 Project under Grant B16037 , as well as Huawei Technologies Group Co., Ltd.

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10.1016/j.inffus.2021.05.007

Cite this

@article{ba343de9e6ae40c9b5867692e0801f30,

title = "Data Fusion for Trust Evaluation",

author = "Zheng Yan and Qinghua Zheng and Yang, \{Laurence T.\} and Deng, \{Robert H.\}",

note = "Funding Information: This work is supported in part by the National Natural Science Foundation of China under Grant 62072351; in part by the Academy of Finland under Grant 308087 and Grant 335262; in part by the Shaanxi Innovation Team Project under Grant 2018TD-007; and in part by the 111 Project under Grant B16037, as well as Huawei Technologies Group Co. Ltd. ",

year = "2021",

month = dec,

doi = "10.1016/j.inffus.2021.05.007",

language = "English",

volume = "76",

pages = "187--188",

journal = "Information Fusion",

issn = "1566-2535",

publisher = "Elsevier",

}

TY - JOUR

T1 - Data Fusion for Trust Evaluation

AU - Yan, Zheng

AU - Zheng, Qinghua

AU - Yang, Laurence T.

AU - Deng, Robert H.

N1 - Funding Information: This work is supported in part by the National Natural Science Foundation of China under Grant 62072351; in part by the Academy of Finland under Grant 308087 and Grant 335262; in part by the Shaanxi Innovation Team Project under Grant 2018TD-007; and in part by the 111 Project under Grant B16037, as well as Huawei Technologies Group Co. Ltd.

PY - 2021/12

Y1 - 2021/12

UR - https://www.scopus.com/pages/publications/85107815076

U2 - 10.1016/j.inffus.2021.05.007

DO - 10.1016/j.inffus.2021.05.007

M3 - Editorial

AN - SCOPUS:85107815076

SN - 1566-2535

VL - 76

SP - 187

EP - 188

JO - Information Fusion

JF - Information Fusion

ER -

Data Fusion for Trust Evaluation

Funding

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TruSoNet2: TruSoNet: Digitalizing Trust for Securing Pervasive Social Networking

Digitalizing Trust for Securing Pervasive Social Networking

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Data Fusion for Trust Evaluation

Funding

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Projects

TruSoNet2: TruSoNet: Digitalizing Trust for Securing Pervasive Social Networking

Digitalizing Trust for Securing Pervasive Social Networking

Cite this