Road Construction Fraud Detection System using Fuzzy Logic
Emmanuel O Atomatofa, Eli Adama Jiya and Johnson Akpa. Road Construction Fraud Detection System using Fuzzy Logic. International Journal of Applied Information Systems 12(40):1-7, February 2023. URL, DOI BibTeX
@article{10.5120/ijais2023451937, author = "Emmanuel O. Atomatofa and Eli Adama Jiya and Johnson Akpa", title = "Road Construction Fraud Detection System using Fuzzy Logic", journal = "International Journal of Applied Information Systems", issue_date = "February 2023", volume = 12, number = 40, month = "February", year = 2023, issn = "2249-0868", pages = "1-7", url = "https://www.ijais.org/archives/volume12/number40/1132-2023451937", doi = "10.5120/ijais2023451937", publisher = "Foundation of Computer Science (FCS), NY, USA", address = "New York, USA" }
Abstract
All over the world, fraud poses a serious threat to both the developing and developed economies, this is generally due to the large amount of resource it illegal take away from the state and advanced nature of technology which aids the scheme. Nigeria is not an exception in fraud and financial crime-related cases, however, road construction and infrastructural development related frauds are rarely checked. Through these frauds, large state resources is diverted. Using World Bank benchmark for road construction in Africa, this paper designed a Road Construction Fraud Detection System Using Fuzzy Logic. Contract cost, environment factors, and other contract details were compared against the standard benchmark of contract sum in such areas. Also fuzzy rules were used to determine whether a contract is fraudulent or not. This work would show that contract inflations and fraud in road construction can be detected and minimized with a good fraud detection system.
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Keywords
Fraud detection, Road construction fraud, Fuzzy Logic