Clustering a body of evidence based on conflict measures

DOI

10.2991/eusflat-19.2019.47How to use a DOI?

Keywords

Belief functions Conflict measure Clustering

Abstract

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 conflict within pieces of evidences based on several functionals that help us to evaluate inner and external conflict

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Andrey Bronevich
AU  - Alexander Lepskiy
PY  - 2019/08
DA  - 2019/08
TI  - Clustering a body of evidence based on conflict measures
BT  - Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2019)
PB  - Atlantis Press
SP  - 328
EP  - 333
SN  - 2589-6644
UR  - https://doi.org/10.2991/eusflat-19.2019.47
DO  - 10.2991/eusflat-19.2019.47
ID  - Bronevich2019/08
ER  -