In this work, fuzzy method is proposed to enhance the contrast of Magnetic Resonance Imaging (MRI) brain images. Negative Image (NI), Log Transform (LT), Gamma Correction (GC), Histogram Equalization (HE), Adaptive Histogram Equalization (AHE) and Dynamic Histogram Equalization (DHE) methods are compared with proposed method. The performance is evaluated by using quantitative measures like Michelon Contrast (MC), Entropy, Peak Signal to Noise Ratio (PSNR), Structure Similarity Index Measurement (SSIM) and Absolute Mean Brightness Error (AMBE) as a parameter on BRATS-2014 dataset. The proposed method gives good results for Entropy, PSNR and AMBE, we need to improve the proposed method for MC and SSIM.