Introducing a new method for the fusion of fraud evidence in banking transactions with regards to uncertainty-Reference-Cited by-同舟云学术

Introducing a new method for the fusion of fraud evidence in banking transactions with regards to uncertainty

Published:2019-05 Issue: Volume:121 Page:382-392
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Eshghi Abdollah,Kargari Mehrdad^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference61 articles.

1. A national model to supervise on virtual banking systems through the bank 2.0 approach;Ahmadalinejad;Advanced Computer Science International Journal,2015

2. CARDWATCH: A neural network based database mining system for credit card fraud detection;Aleskerov,1997

3. Event processing under uncertainty;Artikis,2012

4. Intuitionistic fuzzy sets;Atanassov;Fuzzy Sets and Systems,1986

5. Elicitation of expert opinions for uncertainty and risks;Ayyub,2001

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