Clustering a body of evidence based on conflict measures
- 10.2991/eusflat-19.2019.47How to use a DOI?
- Belief functions Conflict measure Clustering
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
- © 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/).
Cite this article
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 -