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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 |
Reference manual: | ibelief.pdf |
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 imports: | evclass |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.