Record linkage using fuzzy sets for detecting suspicious financial ransactions
Authors
Sezi Cevik Onar, Basar Öztaysi, Cengiz Kahraman
Corresponding Author
Sezi Cevik Onar
Available Online June 2015.
- DOI
- 10.2991/ifsa-eusflat-15.2015.36How to use a DOI?
- Keywords
- Record linkage, financial transactions, fuzzy distance, hesitant fuzzy sets, intuitionistic fuzzy sets.
- Abstract
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 The main problems in this linking process are the missing data, errors in the entries or out of date entries.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.
- Copyright
- © 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 - 10.2991/ifsa-eusflat-15.2015.36 ID - CevikOnar2015/06 ER -