Monitoring Premium Motor Spirit Price in Nigeria: A Novel Artificial Intelligence Approach
Abstract
In this paper, we propose a novel artificial intelligence (AI) approach to address the price volatility problem (PVP). We present a decision support system (DSS) that leverages the predictive classification ability of the deviant learning algorithm (DLA) to analyze a Premium Motor Spirit (PMS) pump price dataset. The results demonstrate that classification accuracy above 75% can be achieved when the learning extent surpasses a certain threshold or is set to its maximum value. This approach can serve as a valuable tool for detecting periods during which there is a high likelihood of a pump price hike for PMS in Nigeria.
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