TDBF: Two-dimensional belief function

作者：Li, Yangxue; Deng, Yong^*

来源：INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2019, 34(8): 1968-1982.

DOI：10.1002/int.22135

• belief function
• conflict management
• Dempster-Shafer evidence theory
• information fusion
• two-dimensional belief function
• Z-numbers

How to efficiently handle uncertain information is still an open issue. In this paper, a new method to deal with uncertain information, named as two-dimensional belief TDBF), is presented. A TDBF has two components, T = (mA,mB), both mA and mB are classical belief functions, while mB is a measure of reliable of mA. 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 and application of the proposed method.

• 单位
  电子科技大学; y