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Call for Paper


May Edition 2023

International Journal of Applied Information Systems solicits high quality original research papers for the May 2023 Edition of the journal. The last date of research paper submission is April 14, 2023.

Road Construction Fraud Detection System using Fuzzy Logic

Emmanuel O. Atomatofa, Eli Adama Jiya, Johnson Akpa in Fuzzy Systems

International Journal of Applied Information Systems
Year of Publication:2023
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors:Emmanuel O. Atomatofa, Eli Adama Jiya, Johnson Akpa
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  1. 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

    	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 = "",
    	doi = "10.5120/ijais2023451937",
    	publisher = "Foundation of Computer Science (FCS), NY, USA",
    	address = "New York, USA"


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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Fraud detection, Road construction fraud, Fuzzy Logic