A novel multiobjective approach for detecting money laundering with a neuro-fuzzy technique

Mohammad (Behdad) Jamshidi; Mohammadreza Gorjiankhanzad; Ali Lalbakhsh; Saeed Roshani

doi:10.1109/ICNSC.2019.8743234

A novel multiobjective approach for detecting money laundering with a neuro-fuzzy technique

Mohammad (Behdad) Jamshidi, Mohammadreza Gorjiankhanzad, Ali Lalbakhsh, Saeed Roshani

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

11 Citations (Scopus)

Abstract

Using the computational inelegant methods in processing financial data is a practicable action to reduce a wide variety of crime in this domain. In this paper, a new intelligent multiobjective to recognize money laundering in banks and currency exchanges is presented. The introduced approach is based on Adaptive Neuro-Fuzzy Inference System (ANFIS) which is set up by MATLAB software. The proposed method can replace conventional methods to detect the risk of money laundering in suspicious banking transaction. In addition, this approach can be used in banking systems as an online technique to analyze the data of customers' accounts. Also, the probability of money laundering's risk for each exchange is processed and monitored. One of the main advantages of the system is categorizing customers for different customers. The results illustrate the accuracy of this system in filtration of accounts infected by money laundering is acceptable.

Original language	English
Title of host publication	Proceedings of the 2019 IEEE 16th International Conference on Networking, Sensing and Control, ICNSC 2019
Editors	Haibin Zhu, Jiacun Wang, MengChu Zhou
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	454-458
Number of pages	5
ISBN (Electronic)	9781728100838
DOIs	https://doi.org/10.1109/ICNSC.2019.8743234
Publication status	Published - 2019
Externally published	Yes
Event	16th IEEE International Conference on Networking, Sensing and Control, ICNSC 2019 - Banff, Canada Duration: 9 May 2019 → 11 May 2019

Conference

Conference	16th IEEE International Conference on Networking, Sensing and Control, ICNSC 2019
Country/Territory	Canada
City	Banff
Period	9/05/19 → 11/05/19

Keywords

ANFIS
Artificial intelligence
Banking
Computational intelligence
Currency exchange
Money laundering

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10.1109/ICNSC.2019.8743234

Cite this

Jamshidi, M., Gorjiankhanzad, M., Lalbakhsh, A., & Roshani, S. (2019). A novel multiobjective approach for detecting money laundering with a neuro-fuzzy technique. In H. Zhu, J. Wang, & M. Zhou (Eds.), Proceedings of the 2019 IEEE 16th International Conference on Networking, Sensing and Control, ICNSC 2019 (pp. 454-458). [8743234] Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICNSC.2019.8743234

Jamshidi, Mohammad (Behdad) ; Gorjiankhanzad, Mohammadreza ; Lalbakhsh, Ali ; Roshani, Saeed. / A novel multiobjective approach for detecting money laundering with a neuro-fuzzy technique. Proceedings of the 2019 IEEE 16th International Conference on Networking, Sensing and Control, ICNSC 2019. editor / Haibin Zhu ; Jiacun Wang ; MengChu Zhou. Piscataway, NJ : Institute of Electrical and Electronics Engineers (IEEE), 2019. pp. 454-458

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title = "A novel multiobjective approach for detecting money laundering with a neuro-fuzzy technique",

abstract = "Using the computational inelegant methods in processing financial data is a practicable action to reduce a wide variety of crime in this domain. In this paper, a new intelligent multiobjective to recognize money laundering in banks and currency exchanges is presented. The introduced approach is based on Adaptive Neuro-Fuzzy Inference System (ANFIS) which is set up by MATLAB software. The proposed method can replace conventional methods to detect the risk of money laundering in suspicious banking transaction. In addition, this approach can be used in banking systems as an online technique to analyze the data of customers' accounts. Also, the probability of money laundering's risk for each exchange is processed and monitored. One of the main advantages of the system is categorizing customers for different customers. The results illustrate the accuracy of this system in filtration of accounts infected by money laundering is acceptable.",

keywords = "ANFIS, Artificial intelligence, Banking, Computational intelligence, Currency exchange, Money laundering",

author = "Jamshidi, {Mohammad (Behdad)} and Mohammadreza Gorjiankhanzad and Ali Lalbakhsh and Saeed Roshani",

year = "2019",

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Jamshidi, M, Gorjiankhanzad, M, Lalbakhsh, A & Roshani, S 2019, A novel multiobjective approach for detecting money laundering with a neuro-fuzzy technique. in H Zhu, J Wang & M Zhou (eds), Proceedings of the 2019 IEEE 16th International Conference on Networking, Sensing and Control, ICNSC 2019., 8743234, Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. 454-458, 16th IEEE International Conference on Networking, Sensing and Control, ICNSC 2019, Banff, Canada, 9/05/19. https://doi.org/10.1109/ICNSC.2019.8743234

A novel multiobjective approach for detecting money laundering with a neuro-fuzzy technique. / Jamshidi, Mohammad (Behdad); Gorjiankhanzad, Mohammadreza; Lalbakhsh, Ali; Roshani, Saeed.

Proceedings of the 2019 IEEE 16th International Conference on Networking, Sensing and Control, ICNSC 2019. ed. / Haibin Zhu; Jiacun Wang; MengChu Zhou. Piscataway, NJ : Institute of Electrical and Electronics Engineers (IEEE), 2019. p. 454-458 8743234.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

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AU - Lalbakhsh, Ali

AU - Roshani, Saeed

PY - 2019

Y1 - 2019

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Jamshidi M, Gorjiankhanzad M, Lalbakhsh A, Roshani S. A novel multiobjective approach for detecting money laundering with a neuro-fuzzy technique. In Zhu H, Wang J, Zhou M, editors, Proceedings of the 2019 IEEE 16th International Conference on Networking, Sensing and Control, ICNSC 2019. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). 2019. p. 454-458. 8743234 https://doi.org/10.1109/ICNSC.2019.8743234

A novel multiobjective approach for detecting money laundering with a neuro-fuzzy technique

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Keywords

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