Belief Function Implementation

Some basic functions to implement belief functions including: transformation between belief functions using the method introduced by Philippe Smets , evidence combination, evidence discounting, decision-making, and constructing masses. Currently, thirteen combination rules and six decision rules are supported. It can also be used to generate different types of random masses when working on belief combination and conflict management.

ibelief

The R package ibelief aims to provide some basic functions to implement belief function theory.

Installation

You can install the stable version on CRAN:

install.packages("ibelief", dependencies = TRUE)

Also you can download the newest source folder of the package from GitHub, and build the package yourselves:

git clone https://github.com/kuangzhou/ibelief.git
R CMD build ibelief

Then you can install the package using R CMD INSTALL command

R CMD INSTALL ibelief_*.tar.gz

or install the package from source in R:

install.packages("~/ibelief_*.tar.gz", repos = NULL, type = "source")

Change information

For the stable version on CRAN

see the NEWS-CRAN file

For the latest beta version on GitHub

see the NEWS-BETA file