Abstract

Soft computing has been more popular in recent years and it has been used widely for a wide range of industrial applications as well as for the resolution of complicated issues that occur in the real world. Fuzzy logic neural networks machine learning genetic algorithms evolutionary computing and rough sets are the fundamental elements that fall under the umbrella of soft computing. Following a short introduction to the various components of soft computing we will proceed to examine the hybrid type of intelligence. This article will address the new views of soft computing in Fourier transform for industrial applications. The objective of this study is to explain these new viewpoints. Recently there has been a record of highly extensive study being conducted in this field. Reviewing a large number of current publications that are associated with this field of research and are used for industrial engineering and management is the purpose of this work. This article discusses the fundamen