Track: Manufacturing and Design

Abstract

Fuzzy Logic has found popularity in the academic community and widespread use in the industry due to ever increasing complexities in systems, at the core of which lies vagueness, uncertainty and imprecision in information. The proposition of fuzzy set theory, specifically Fuzzy Inference Systems (FIS) led to an explosion of its application in diverse fields including manufacturing especially machining owing to their ability to handle numeric and linguistic information in the same framework. This literature review focuses on the use of FIS in various aspects of machining including process selection, parametric optimization, decision making, etc. The emphasis is first laid down on a review of various fuzzy tools and their evolution & application in past two decades. It is then shifted to area specific applications of FIS and its combination with neural networks. This review provides an effective insight into the world of intelligent and intuitive systems developed to mimic the human minds’ capabilities in an efficient manner. It concludes with the fact that more emphasis can be laid on the use of fuzzy based systems in certain aspects of machining whereas application specific adaption of the concepts seem less popular.