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.
- Version1.3.1
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release01/07/2021
Documentation
Team
Kuang Zhou
Arnaud Martin
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- Reverse Imports1 package