Record linkage using fuzzy sets for detecting suspicious financial ransactions
- https://doi.org/10.2991/ifsa-eusflat-15.2015.36How to use a DOI?
- Record linkage, financial transactions, fuzzy distance, hesitant fuzzy sets, intuitionistic fuzzy sets.
Identifying suspicious financial transactions and linking relevant records is an important data related problem. An appropriate identification may improve fraud detec-tion and international security. The main problems in this linking process are the missing data, errors in the entries or out of date entries. This study aims at devel-oping an efficient method for identifying the suspicious transactions. This proposed methodology compares the information provided in the financial transactions with the black lists, and links similar entries. Different dis-tance measures, including extensions of fuzzy sets can be used with the proposed method.
- © 2015, 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 - Sezi Cevik Onar AU - Basar Öztaysi AU - Cengiz Kahraman PY - 2015/06 DA - 2015/06 TI - Record linkage using fuzzy sets for detecting suspicious financial ransactions BT - Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology PB - Atlantis Press SP - 241 EP - 246 SN - 1951-6851 UR - https://doi.org/10.2991/ifsa-eusflat-15.2015.36 DO - https://doi.org/10.2991/ifsa-eusflat-15.2015.36 ID - CevikOnar2015/06 ER -