Open AccessA New Method for Constructing the Basic Probability Assignment Function in D-S Evidence Theory
Author(s) -
Jie Geng,
Zhangjian Wei
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1746/1/012038
Subject(s) - function (biology) , construct (python library) , premise , basis (linear algebra) , value (mathematics) , probability mass function , mathematics , computer science , probability theory , expected value , probability density function , mathematical optimization , algorithm , statistics , linguistics , philosophy , geometry , evolutionary biology , biology , programming language
The basic probability assignment function is the basis of D-S evidence theory and the premise to obtain accurate evaluation conclusions. A new method to construct the basic probability assignment function is proposed in this paper, which uses nonlinear function to construct the basic probability assignment function, and takes into account the relationship between the change trend of index and the change trend of the basic probability assignment value. This construction method can be applied to the construction of the basic probability assignment of the index, with the decrease of whose value, the condition will degrade gradually.