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Asian Journal of Research in Computer Science
This paper has attempted to develop an artificial intelligence model based on fuzzy logic for the control of corruption in Nigerian Police Force. The researcher employed fuzzy rule-base inference system methodology using four inputs variables; funding, logistics and operational equipment (FLOE) condition of service, remuneration and motivation (CSRM), recruitment, training and promotion (RTP), confidence and support by the community (CSC) were used to determine the corruption severity level. Andoi:10.9734/ajrcos/2019/v3i230090 fatcat:wkmx67fnsfcbrbmrrcar36ixra