Examination of Vehicle Fraud Detection Possibilities with the Help of Fuzzy Inference System-Reference-Cited by-同舟云学术

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Examination of Vehicle Fraud Detection Possibilities with the Help of Fuzzy Inference System

Published:2023-05-23 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI)
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Author:

Váradi Péter¹,LUKáCS Judit²,Horváth Richárd²

Affiliation:

1. Óbuda University,Doctoral School on Safety and Security Sciences,Budapest,Hungary

2. Óbuda University,Donát Bánki Faculty of Mechanical and Safety Engineering,Budapest,Hungary

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10158523/10158534/10158631.pdf?arnumber=10158631

Reference28 articles.

1. Insurance fraud detection with unsupervised deep learning

2. The Role of Hungarian Traffic Rules Education and Examination System – a Quality Function Deployment Approach

3. Car insurance fraud: The role of vehicle repair workshops

4. Using machine learning models to compare various resampling methods in predicting insurance fraud;hanafy;J Theor Appl Inf Technol,2021

5. Human Factor Aspects of Situation Awareness in Autonomous Cars – An Overview of Psychological Approaches

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1. Economic Fraud and Associated Risks: An Integrated Bibliometric Analysis Approach;Risks;2024-04-30

2. The place of innovation-driven project management in the life of Hungarian and Slovak enterprises ¹;2024 IEEE 22nd World Symposium on Applied Machine Intelligence and Informatics (SAMI);2024-01-25

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