pyuds swMATH ID: 5901 Software Authors: S. Hussein Description: pyuds is a Python library for measuring uncertainty in the Dempster-Shafer theory of evidence. The functionals supported are the Generalized Hartley (GH) uncertainty functional, Generalized Shannon (GS) uncertainty functional, and Aggregate Uncertainty (AU) functional. The library can be utilized either through its API, or through a user-friendly Web interface. Homepage: http://sourceforge.net/projects/pyuds/ Programming Languages: Python Keywords: machine learning; Mathematics; research Related Software: Cited in: 1 Publication Cited by 3 Authors 1 Hamadou, Sardaouna 1 Palamidessi, Catuscia 1 Sassone, Vladimiro Cited in 1 Serial 1 Journal of Computer and System Sciences Cited in 1 Field 1 Computer science (68-XX) Citations by Year