 The proposed system uses chaotic maps and fuzzy numbers to encrypt images, making it more secure than traditional methods. It scrambles pixel values, then adds adjacent row values, and XRs them with the chaotic maps output. The resulting image is then analyzed for its security level by comparing it to other schemes. The system is shown to be effective at resisting various types of attacks, such as statistical analysis, local entropy analysis, differential analysis, signal-to-noise ratio, signal-to-noise distortion ratio, mean error square, brute force attack analysis, and information entropy analysis. This article was authored by Danny Elias-Mfungo, Xian Pingfu, Yong Jinxian, and others.