ibelief: Belief Function Implementation

Some basic functions to implement belief functions including: transformation between belief functions using the method introduced by Philippe Smets <doi:10.48550/arXiv.1304.1122>, 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.

Version:	1.3.1
Depends:	R (≥ 3.2.1)
Imports:	stats
Published:	2021-01-07
DOI:	10.32614/CRAN.package.ibelief
Author:	Kuang Zhou; Arnaud Martin
Maintainer:	Kuang Zhou <kzhoumath at 163.com>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
Materials:	README NEWS
CRAN checks:	ibelief results

Documentation:

Reference manual:

ibelief.pdf

Downloads:

Package source:	ibelief_1.3.1.tar.gz
Windows binaries:	r-devel: ibelief_1.3.1.zip, r-release: ibelief_1.3.1.zip, r-oldrel: ibelief_1.3.1.zip
macOS binaries:	r-release (arm64): ibelief_1.3.1.tgz, r-oldrel (arm64): ibelief_1.3.1.tgz, r-release (x86_64): ibelief_1.3.1.tgz, r-oldrel (x86_64): ibelief_1.3.1.tgz
Old sources:	ibelief archive

Reverse dependencies:

Reverse imports:

evclass

Linking:

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