Mass function derivation and combination in multivariate data spaces
Article
Wang, H., Liu, J. and Augusto, J. 2010. Mass function derivation and combination in multivariate data spaces. Information Sciences. 180 (6), pp. 813-819. https://doi.org/10.1016/j.ins.2009.08.027
Type | Article |
---|---|
Title | Mass function derivation and combination in multivariate data spaces |
Authors | Wang, H., Liu, J. and Augusto, J. |
Abstract | In this paper, we consider the problem of how to derive mass functions systematically from data samples. We also consider the ensuing problem of how to combine different mass functions derived in this way. We show that a mass function can be efficiently and systematically derived from multivariate data. We also demonstrate that combining mass functions obtained in this manner can be done easily. The way of deriving and combining mass functions is illustrated with a simple example. |
Keywords | Dempster–Shafer theory of evidence; Mass function; Dempster rule of combination |
Research Group | Research Group on Development of Intelligent Environments |
Publisher | Elsevier |
Journal | Information Sciences |
ISSN | 0020-0255 |
Publication dates | |
15 Mar 2010 | |
Publication process dates | |
Deposited | 10 Jul 2013 |
Output status | Published |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.ins.2009.08.027 |
Language | English |
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