ibelief: Belief Function Implementation

Some basic functions to implement belief functions including: transformation between belief functions using the method introduced by Philippe Smets (arXiv:1304.1122 [cs.AI]), evidence combination, evidence discounting, decision-making, and constructing masses. Currently, thirteen combination rules and five 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: 1.2
Depends: R (≥ 2.15.1)
Imports: stats
Published: 2015-07-16
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

Downloads:

Reference manual: ibelief.pdf
Package source: ibelief_1.2.tar.gz
Windows binaries: r-devel: ibelief_1.2.zip, r-release: ibelief_1.2.zip, r-oldrel: ibelief_1.2.zip
OS X El Capitan binaries: r-release: ibelief_1.2.tgz
OS X Mavericks binaries: r-oldrel: ibelief_1.2.tgz
Old sources: ibelief archive

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