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Clustering a Body of Evidence Based on Conflict Measures
P. 328–333.
Bronevich A., Lepskiy A.
In real applications, sometimes it is necessary to evaluate inner or external conflict of pieces of evidence. However, these numerical values cannot give us explanations why this conflict occurs. Thus, we need deeper analysis of available information. In the paper, we propose the clusterization of a given evidence on pieces of evidence in a way that we try to achieve the highest conflict among pieces of evidence and the smallest inner conict within pieces of evidences based on several functionals that help us to evaluate inner and external conflict.
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In book
Vol. 1. , P.: Atlantis Press, 2019.
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