An evidential evaluation of nuclear safeguards | Zendy

Gao Shang | Zendy; Deng Yong | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

An evidential evaluation of nuclear safeguards

Author(s) -

Gao Shang,

Deng Yong

Publication year - 2019

Publication title -

international journal of distributed sensor networks

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.324

H-Index - 53

eISSN - 1550-1477

pISSN - 1550-1329

DOI - 10.1177/1550147719894550

Subject(s) - computer science , agency (philosophy) , set (abstract data type) , missing data , atomic energy , dempster–shafer theory , data mining , operations research , mathematics , machine learning , epistemology , philosophy , programming language

Nuclear safeguards evaluation is a complicated issue with many missing values and uncertainties. By invoking Dempster–Shafer theory of evidence, the missing values are assigned to a subset of a set of multiple objects, at the same time, by combining different evaluation values, and the effect of uncertainty will be decreased. In this way, both the missing values and uncertainties are considered in the final evaluations. This method has been used in considering the International Atomic Energy Agency experts’ evaluation for nuclear safeguards. The result shows that (s2, 0.1897) is the biggest belief degree.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research