Evidential distance measure in complex belief function theory

June 27, 2019 Β· Declared Dead Β· πŸ› arXiv.org

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Authors Fuyuan Xiao arXiv ID 1907.00716 Category cs.AI: Artificial Intelligence Citations 0 Venue arXiv.org Last Checked 4 months ago
Abstract
In this paper, an evidential distance measure is proposed which can measure the difference or dissimilarity between complex basic belief assignments (CBBAs), in which the CBBAs are composed of complex numbers. When the CBBAs are degenerated from complex numbers to real numbers, i.e., BBAs, the proposed distance will degrade into the Jousselme et al.'s distance. Therefore, the proposed distance provides a promising way to measure the differences between evidences in a more general framework of complex plane space.
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