Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology

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
https://doi.org/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 The main problems in this linking process are the missing data, errors in the entries or out of date entries.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.
Open Access
This is an open access article distributed under the CC BY-NC license.

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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  - 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15)
PB  - Atlantis Press
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  -