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.
|Author||Kuang Zhou <[email protected]>; Arnaud Martin <[email protected]>|
|Date of publication||2015-07-16 14:24:30|
|Maintainer||Kuang Zhou <[email protected]>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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