Deep Learning-based Advancement in Fuzzy Logic Controller

Abstract

Traditional algorithmic methods are not appropriate to solve today's issues. Nowadays, deep-learning-based fuzzy systems are becoming famous and effective among researchers in tackling difficult issues in many sectors. The study briefly overviews the latest applications in various sectors to acquire future occurrences with a fuzzy method advancement. To examine the fuzzy system concept and its domains established between 2000 and 2018 were analyzed. The majority of mathematics features are utilized, including engineering, robotics, etc. Fuzzy Logic (FL) has grown increasingly widespread. This report analyzes the idea and use of FL in numerous sectors along with the concept of deep learning. This research illustrates an application of an FL method in medicinal, operational research along with three stages. Results showed that FL is not limited to mathematics but is a broad concept adaptable to several branches.