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Interpretable Clustering Using Dempster-Shafer Theory

open access: yesJUCS - Journal of Universal Computer Science
This study presents DSClustering, a novel algorithm that merges clustering validity with interpretability using the Dempster-Shafer theory. Traditional clustering methods like K-means, DBSCAN, and agglomerative clustering, while widely used for their efficiency and accuracy, often fall short in transparency, creating barriers in critical fields such as
Aram Adamyan   +4 more
openaire   +1 more source

Dempster-Shafer teorisinin değerlendirme problemine uygulanması

open access: yes, 2021
SUMMARY APPLICATION OF DEMPSTER-SHAFER THEORY TO AN EVALUATION PROBLEM To make a final conclusion in decision making problems with multi crite ria and multi experts can be quite difficult. Because the expert's evaluation of product, person,... etc., based on multi criteria may involve uncertainti es.
openaire   +1 more source

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