Authors: Yangxue Li; Yong Deng
How to efﬁciently handle uncertain information is still an open issue. Inthis paper, a new method to deal with uncertain information, named as two dimensional belief function (TDBF), is presented. A TDBF has two components, T=(mA,mB). The ﬁrst component, mA, is a classical belief function. The second component, mB, also is a classical belief function, but it is a measure of reliability of the ﬁrst component. The deﬁnition of TDBF and the discounting algorithm are proposed. Compared with the classical discounting model, the proposed TDBF is more ﬂexible and reasonable. Numerical examples are used to show the efﬁciency of the proposed method.
Comments: 15 Pages.
[v1] 2017-12-29 06:21:14
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