MEMBERSHIP FUNCTION FORMULATION METHODS FOR FUZZY LOGIC SYSTEMS: A COMPREHENSIVE REVIEW -
Arpit Jain, Abhinav Sharma
Abstract
Fuzzy logic has a widespread application in industry, some of the common applications of fuzzy logic lie in the field of automobiles, consumer electronics, image processing, machine learning, and non-linear control systems to name a few. Due to this fuzzy logic has seen a lot of advancements since its introduction by Zadeh. Designing a proficient fuzzy logic control system is governed by several design parameters which include: controller architecture, fuzzification method, membership function formulation, rule base acquired from expert knowledge, inference engine, and defuzzification method. With an objective to help the first time users of the fuzzy logic system, this paper aims to provide a detailed analysis of the existing techniques utilized by researchers and industrial practitioners to design an optimum fuzzy logic system.