The existing model-independent methods for the detection of exons in DNA could not prove to be ideal as commonly employed fixed window length strategy produces spectral leakage causing signal noise The Modified-Gabor-wavelet-transform exploits a multiscale strategy to deal with the issue to some extent. Yet, no rule regarding the occurrence of small and large exons has been specified. To overcome this randomness, scaling-factor of GWT has been adapted based on a fuzzy rule. Due to the nucleotides' genetic code and fuzzy behaviors in DNA configuration, this work could adopt the fuzzy approach. Two fuzzy membership functions (large and small) take care of the variation in the coding regions. The fuzzy-based learning parameter adaptively tunes the scale factor for fast and precise prediction of exons. The proposed approach has an immense plus point of being capable of isolating detailed sub-regions in each exon efficiently proving its efficacy comparing with existing techniques.

用于检测 DNA 中外显子的现有模型独立方法无法证明是理想的，因为常用的固定窗口长度策略会产生光谱泄漏，从而导致信号噪声。在某种程度上。然而，没有规定关于大小外显子出现的规则。为了克服这种随机性，基于模糊规则调整了 GWT 的缩放因子。由于核苷酸的遗传密码和 DNA 配置中的模糊行为，这项工作可以采用模糊方法。两个模糊隶属函数（大和小）负责编码区域的变化。基于模糊的学习参数自适应地调整比例因子，以快速准确地预测外显子。