Mass function derivation and combination in multivariate data spaces

Wang, Hui, Liu, Jun and Augusto, Juan Carlos (2010) Mass function derivation and combination in multivariate data spaces. Information Sciences, 180 (6). pp. 813-819. ISSN 0020-0255

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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.

Item Type: Article
Keywords (uncontrolled): Dempster–Shafer theory of evidence; Mass function; Dempster rule of combination
Research Areas: A. > School of Science and Technology > Computer Science
A. > School of Science and Technology > Computer Science > Intelligent Environments group
Item ID: 11236
Useful Links:
Depositing User: Teddy ~
Date Deposited: 10 Jul 2013 10:38
Last Modified: 13 Oct 2016 14:27
URI: https://eprints.mdx.ac.uk/id/eprint/11236

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