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Cluster Decomposition of the Body of Evidence

Lepskiy, Alexander

Belief Functions: Theory and Applications, p.163-173 [Periódico revisado por pares]

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Título:
Cluster Decomposition of the Body of Evidence
Autor: Lepskiy, Alexander
Assuntos: Body of evidence ; Decomposition of evidence ; Measure of conflict
É parte de: Belief Functions: Theory and Applications, p.163-173
Notas: The financial support from the Government of the Russian Federation within the framework of the implementation of the 5–100 Programme Roadmap of the National Research University Higher School of Economics is acknowledged.
Descrição: Two algorithms for the body of evidence clustering are developed and studied in this paper. The first algorithm is based on the use of the distribution density function of conflicting focal elements of the body of evidence. The second algorithm is similar to the k-means algorithm, but it uses the external conflict measure instead of the metric. It is shown that cluster decomposition can be used to evaluate the internal conflict of the body of evidence.
Editor: Cham: Springer International Publishing
Idioma: Inglês

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