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Road Construction Fraud Detection System using Fuzzy Logic

by Emmanuel O. Atomatofa, Eli Adama Jiya, Johnson Akpa
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International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 12 - Number 40
Year of Publication: 2023
Authors: Emmanuel O. Atomatofa, Eli Adama Jiya, Johnson Akpa
10.5120/ijais2023451937

Emmanuel O. Atomatofa, Eli Adama Jiya, Johnson Akpa . Road Construction Fraud Detection System using Fuzzy Logic. International Journal of Applied Information Systems. 12, 40 ( February 2023), 1-7. DOI=10.5120/ijais2023451937

@article{ 10.5120/ijais2023451937,
author = { Emmanuel O. Atomatofa, Eli Adama Jiya, 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 },
numpages = {9},
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}
}
%0 Journal Article
%1 2023-07-05T19:11:35.527065+05:30
%A Emmanuel O. Atomatofa
%A Eli Adama Jiya
%A Johnson Akpa
%T Road Construction Fraud Detection System using Fuzzy Logic
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 12
%N 40
%P 1-7
%D 2023
%I Foundation of Computer Science (FCS), NY, 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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Index Terms

Computer Science
Information Sciences

Keywords

Fraud detection Road construction fraud Fuzzy Logic

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